Soft Numerical Computing in Uncertain Dynamic Systems

Soft Numerical Computing in Uncertain Dynamic Systems
Author: Tofigh Allahviranloo,Witold Pedrycz
Publsiher: Academic Press
Total Pages: 388
Release: 2020-09-01
ISBN 10: 0128229942
ISBN 13: 9780128229941
Language: EN, FR, DE, ES & NL

Soft Numerical Computing in Uncertain Dynamic Systems Book Review:

Soft Numerical Computing in Uncertain Dynamic Systems is intended for system specialists interested in dynamic systems that operate at different time scales. The book discusses several types of errors and their propagation, covering numerical methods—including convergence and consistence properties and characteristics—and proving of related theorems within the setting of soft computing. Several types of uncertainty representation like interval, fuzzy, type 2 fuzzy, granular, and combined uncertain sets are discussed in detail. The book can be used by engineering students in control and finite element fields, as well as all engineering, applied mathematics, economics, and computer science students. One of the important topics in applied science is dynamic systems and their applications. The authors develop these models and deliver solutions with the aid of numerical methods. Since they are inherently uncertain, soft computations are of high relevance here. This is the reason behind investigating soft numerical computing in dynamic systems. If these systems are involved with complex-uncertain data, they will be more practical and important. Real-life problems work with this type of data and most of them cannot be solved exactly and easily—sometimes they are impossible to solve. Clearly, all the numerical methods need to consider error of approximation. Other important applied topics involving uncertain dynamic systems include image processing and pattern recognition, which can benefit from uncertain dynamic systems as well. In fact, the main objective is to determine the coefficients of a matrix that acts as the frame in the image. One of the effective methods exhibiting high accuracy is to use finite differences to fill the cells of the matrix. Explores dynamic models, how time is fundamental to the structure of the model and data, and how a process unfolds Investigates the dynamic relationships between multiple components of a system in modeling using mathematical models and the concept of stability in uncertain environments Exposes readers to many soft numerical methods to simulate the solution function’s behavior

Soft Computing Approach for Mathematical Modeling of Engineering Problems

Soft Computing Approach for Mathematical Modeling of Engineering Problems
Author: Ali Ahmadian,Soheil Salahshour
Publsiher: CRC Press
Total Pages: 222
Release: 2021-09-03
ISBN 10: 1000432467
ISBN 13: 9781000432466
Language: EN, FR, DE, ES & NL

Soft Computing Approach for Mathematical Modeling of Engineering Problems Book Review:

This book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems. It gives an overview of the current state of soft computing techniques and describes the advantages and disadvantages of soft computing compared to traditional hard computing techniques. Through examples and case studies the editors demonstrate and describe how problems with inherent uncertainty can be addressed and eventually solved through the aid of numerical models and methods. The chapters address several applications and examples in bioengineering science, drug delivery, solving inventory issues, Industry 4.0, augmented reality and weather forecasting. Other examples include solving fuzzy-shortest-path problems by introducing a new distance and ranking functions. Because, in practice, problems arise with uncertain data and most of them cannot be solved exactly and easily, the main objective is to develop models that deliver solutions with the aid of numerical methods. This is the reason behind investigating soft numerical computing in dynamic systems. Having this in mind, the authors and editors have considered error of approximation and have discussed several common types of errors and their propagations. Moreover, they have explained the numerical methods, along with convergence and consistence properties and characteristics, as the main objectives behind this book involve considering, discussing and proving related theorems within the setting of soft computing. This book examines dynamic models, and how time is fundamental to the structure of the model and data as well as the understanding of how a process unfolds • Discusses mathematical modeling with soft computing and the implementations of uncertain mathematical models • Examines how uncertain dynamic systems models include uncertain state, uncertain state space and uncertain state’s transition functions • Assists readers to become familiar with many soft numerical methods to simulate the solution function’s behavior This book is intended for system specialists who are interested in dynamic systems that operate at different time scales. The book can be used by engineering students, researchers and professionals in control and finite element fields as well as all engineering, applied mathematics, economics and computer science interested in dynamic and uncertain systems. Ali Ahmadian is a Senior Lecturer at the Institute of IR 4.0, The National University of Malaysia. Soheil Salahshour is an associate professor at Bahcesehir University.

Mathematical Methods in Interdisciplinary Sciences

Mathematical Methods in Interdisciplinary Sciences
Author: Snehashish Chakraverty
Publsiher: John Wiley & Sons
Total Pages: 464
Release: 2020-06-02
ISBN 10: 1119585619
ISBN 13: 9781119585619
Language: EN, FR, DE, ES & NL

Mathematical Methods in Interdisciplinary Sciences Book Review:

Brings mathematics to bear on your real-world, scientific problems Mathematical Methods in Interdisciplinary Sciences provides a practical and usable framework for bringing a mathematical approach to modelling real-life scientific and technological problems. The collection of chapters Dr. Snehashish Chakraverty has provided describe in detail how to bring mathematics, statistics, and computational methods to the fore to solve even the most stubborn problems involving the intersection of multiple fields of study. Graduate students, postgraduate students, researchers, and professors will all benefit significantly from the author's clear approach to applied mathematics. The book covers a wide range of interdisciplinary topics in which mathematics can be brought to bear on challenging problems requiring creative solutions. Subjects include: Structural static and vibration problems Heat conduction and diffusion problems Fluid dynamics problems The book also covers topics as diverse as soft computing and machine intelligence. It concludes with examinations of various fields of application, like infectious diseases, autonomous car and monotone inclusion problems.

Soft Computing for Control of Non Linear Dynamical Systems

Soft Computing for Control of Non Linear Dynamical Systems
Author: Oscar Castillo,Patricia Melin
Publsiher: Physica
Total Pages: 224
Release: 2012-12-06
ISBN 10: 3790818321
ISBN 13: 9783790818321
Language: EN, FR, DE, ES & NL

Soft Computing for Control of Non Linear Dynamical Systems Book Review:

This book presents a unified view of modelling, simulation, and control of non linear dynamical systems using soft computing techniques and fractal theory. Our particular point of view is that modelling, simulation, and control are problems that cannot be considered apart, because they are intrinsically related in real world applications. Control of non-linear dynamical systems cannot be achieved if we don't have the appropriate model for the system. On the other hand, we know that complex non-linear dynamical systems can exhibit a wide range of dynamic behaviors ( ranging from simple periodic orbits to chaotic strange attractors), so the problem of simulation and behavior identification is a very important one. Also, we want to automate each of these tasks because in this way it is more easy to solve a particular problem. A real world problem may require that we use modelling, simulation, and control, to achieve the desired level of performance needed for the particular application.

Neural Network Modeling and Identification of Dynamical Systems

Neural Network Modeling and Identification of Dynamical Systems
Author: Yury Tiumentsev,Mikhail Egorchev
Publsiher: Academic Press
Total Pages: 332
Release: 2019-05-17
ISBN 10: 0128154306
ISBN 13: 9780128154304
Language: EN, FR, DE, ES & NL

Neural Network Modeling and Identification of Dynamical Systems Book Review:

Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network models for complex systems that are typically found in real-world applications. The book introduces the theoretical knowledge available for the modeled system into the purely empirical black box model, thereby converting the model to the gray box category. This approach significantly reduces the dimension of the resulting model and the required size of the training set. This book offers solutions for identifying controlled dynamical systems, as well as identifying characteristics of such systems, in particular, the aerodynamic characteristics of aircraft. Covers both types of dynamic neural networks (black box and gray box) including their structure, synthesis and training Offers application examples of dynamic neural network technologies, primarily related to aircraft Provides an overview of recent achievements and future needs in this area

Kansei Engineering and Soft Computing Theory and Practice

Kansei Engineering and Soft Computing  Theory and Practice
Author: Dai, Ying,Chakraborty, Basabi,Shi, Minghui
Publsiher: IGI Global
Total Pages: 436
Release: 2010-08-31
ISBN 10: 1616927992
ISBN 13: 9781616927998
Language: EN, FR, DE, ES & NL

Kansei Engineering and Soft Computing Theory and Practice Book Review:

Kansei Engineering and Soft Computing: Theory and Practice offers readers a comprehensive review of kansei engineering, soft computing techniques, and the fusion of these two fields from a variety of viewpoints. It explores traditional technologies, as well as solutions to real-world problems through the concept of kansei and the effective utilization of soft computing techniques. This publication is an essential read for professionals, researchers, and students in the field of kansei information processing and soft computing providing both theoretical and practical viewpoints of research in humanized technology.

Soft Computing Based Nonlinear Control Systems Design

Soft Computing Based Nonlinear Control Systems Design
Author: Singh, Uday Pratap,Tiwari, Akhilesh,Singh, Rajeev Kumar
Publsiher: IGI Global
Total Pages: 388
Release: 2018-02-09
ISBN 10: 1522535322
ISBN 13: 9781522535324
Language: EN, FR, DE, ES & NL

Soft Computing Based Nonlinear Control Systems Design Book Review:

A critical part of ensuring that systems are advancing alongside technology without complications is problem solving. Practical applications of problem-solving theories can model conflict and cooperation and aid in creating solutions to real-world problems. Soft-Computing-Based Nonlinear Control Systems Design is a critical scholarly publication that examines the practical applications of control theory and its applications in problem solving to fields including economics, environmental management, and financial modelling. Featuring a wide range of topics, such as fuzzy logic, nature-inspired algorithms, and cloud computing, this book is geared toward academicians, researchers, and students seeking relevant research on control theory and its practical applications.

Uncertain Computation based Decision Theory

Uncertain Computation based Decision Theory
Author: Aliev Rafig Aziz
Publsiher: World Scientific
Total Pages: 540
Release: 2017-12-06
ISBN 10: 9813228954
ISBN 13: 9789813228955
Language: EN, FR, DE, ES & NL

Uncertain Computation based Decision Theory Book Review:

Uncertain computation is a system of computation and reasoning in which the objects of computation are not values of variables but restrictions on values of variables. This compendium includes uncertain computation examples based on interval arithmetic, probabilistic arithmetic, fuzzy arithmetic, Z-number arithmetic, and arithmetic with geometric primitives. The principal problem with the existing decision theories is that they do not have capabilities to deal with such environment. Up to now, no books where decision theories based on all generalizations level of information are considered. Thus, this self-containing volume intends to overcome this gap between real-world settings' decisions and their formal analysis. Contents: Decision EnvironmentAnalysis of the Existing Decision TheoriesInterval ComputationProbabilistic ArithmeticFuzzy Type-1 and Fuzzy Type-2 ComputationsComputation with Z-NumbersComputation with U-NumbersFuzzy Geometry Based ComputationsInterval Granular-Based Decision MakingDecision Making in Fuzzy EnvironmentThe Z-Restriction Centered Decision TheorySimulation and Applications Readership: Researchers, academics, professionals and graduate students in fuzzy logic, decision sciences and mathematical economics. Keywords: Uncertain Computation;Decision Making;Interval Arithmetic;Fuzzy Arithmetic;Z-Number;Combined State;Fuzzy EconomicsReview:0

Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems

Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems
Author: Chakraverty, S.
Publsiher: IGI Global
Total Pages: 441
Release: 2014-01-31
ISBN 10: 1466649925
ISBN 13: 9781466649927
Language: EN, FR, DE, ES & NL

Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems Book Review:

"This book provides the reader with basic concepts for soft computing and other methods for various means of uncertainty in handling solutions, analysis, and applications"--Provided by publisher.

Artificial Intelligence and Soft Computing

Artificial Intelligence and Soft Computing
Author: Leszek Rutkowski,Rafał Scherer,Marcin Korytkowski,Witold Pedrycz,Ryszard Tadeusiewicz,Jacek M. Zurada
Publsiher: Springer
Total Pages: 688
Release: 2019-07-20
ISBN 10: 3030209121
ISBN 13: 9783030209124
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Soft Computing Book Review:

The two-volume set LNCS 11508 and 11509 constitutes the refereed proceedings of of the 18th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2019, held in Zakopane, Poland, in June 2019. The 122 revised full papers presented were carefully reviewed and selected from 333 submissions. The papers included in the first volume are organized in the following five parts: neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; artificial intelligence in modeling and simulation. The papers included in the second volume are organized in the following five parts: computer vision, image and speech analysis; bioinformatics, biometrics, and medical applications; data mining; various problems of artificial intelligence; agent systems, robotics and control.

Intelligent Techniques and Soft Computing for Nuclear Science and Engineering

Intelligent Techniques and Soft Computing for Nuclear Science and Engineering
Author: Da Ruan
Publsiher: World Scientific
Total Pages: 544
Release: 2000
ISBN 10: 9789810243562
ISBN 13: 9810243561
Language: EN, FR, DE, ES & NL

Intelligent Techniques and Soft Computing for Nuclear Science and Engineering Book Review:

This book is divided into three parts. The first part, ?Mathematical Tools and New Developments?, provides basic tools to treat fuzzy set theory, rough set theory, fuzzy control, fuzzy modelling, decision support systems, and related applications. The second part, ?Intelligent Engineering Applications?, reports on engineering problems such as man-machine interface, risk analysis, image processing, robotics, knowledge-based engineering, expert systems, process control integration, diagnosis, measurements and interpretation by intelligent techniques and soft computing used for general engineering applications. The third part, ?Nuclear Engineering Applications?, concentrates on nuclear applications and covers several topics such as nuclear energy, nuclear safety assessment, radioactive waste management, nuclear measurements, nuclear safeguards, nuclear reactor operation, reactor controller design, fuel reload pattern design, signal validation, nuclear power plants, and optimizations in nuclear applications.

Soft Computing and its Applications in Business and Economics

Soft Computing and its Applications in Business and Economics
Author: Rafik Aziz Aliev,Bijan Fazlollahi,Rashad Rafik Aliev
Publsiher: Springer
Total Pages: 446
Release: 2012-08-10
ISBN 10: 3540444297
ISBN 13: 9783540444299
Language: EN, FR, DE, ES & NL

Soft Computing and its Applications in Business and Economics Book Review:

"Soft Computing and its Applications in Business and Economics," or SC-BE for short, is a work whose importance is hard to exaggerate. Authored by leading contributors to soft computing and its applications, SC-BE is a sequel to an earlier book by Professors R. A. Aliev and R. R. Aliev, "Soft Computing and Its Applications," World Scientific, 200l. SC-BE is a self-contained exposition of the foundations of soft computing, and presents a vast compendium of its applications to business, finance, decision analysis and economics. One cannot but be greatly impressed by the wide variety of applications - applications ranging from use of fuzzy logic in transportation and health case systems, to use of a neuro-fuzzy approach to modeling of credit risk in trading, and application of soft computing to e-commerce. To view the contents of SC-BE in a clearer perspective, a bit of history is in order. In science, as in other realms of human activity, there is a tendency to be nationalistic - to commit oneself to a particular methodology and relegate to a position of inferiority or irrelevance all alternative methodologies. As we move further into the age of machine intelligence and automated reasoning, we run into more and more problems which do not lend themselves to solution through the use of our favorite methodology.

Soft Computing and Fractal Theory for Intelligent Manufacturing

Soft Computing and Fractal Theory for Intelligent Manufacturing
Author: Oscar Castillo,Patricia Melin
Publsiher: Physica
Total Pages: 283
Release: 2012-08-11
ISBN 10: 379081766X
ISBN 13: 9783790817669
Language: EN, FR, DE, ES & NL

Soft Computing and Fractal Theory for Intelligent Manufacturing Book Review:

We describe in this book, new methods for intelligent manufacturing using soft computing techniques and fractal theory. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems. Fractal theory provides us with the mathematical tools to understand the geometrical complexity of natural objects and can be used for identification and modeling purposes. Combining SC techniques with fractal theory, we can take advantage of the "intelligence" provided by the computer methods and also take advantage of the descriptive power of the fractal mathematical tools. Industrial manufacturing systems can be considered as non-linear dynamical systems, and as a consequence can have highly complex dynamic behaviors. For this reason, the need for computational intelligence in these manufacturing systems has now been well recognized. We consider in this book the concept of "intelligent manufacturing" as the application of soft computing techniques and fractal theory for achieving the goals of manufacturing, which are production planning and control, monitoring and diagnosis of faults, and automated quality control. As a prelude, we provide a brief overview of the existing methodologies in Soft Computing. We then describe our own approach in dealing with the problems in achieving intelligent manufacturing. Our particular point of view is that to really achieve intelligent manufacturing in real-world applications we need to use SC techniques and fractal theory.

Analysis and Design of Intelligent Systems Using Soft Computing Techniques

Analysis and Design of Intelligent Systems Using Soft Computing Techniques
Author: Patricia Melin,Oscar Castillo,Eduardo G. Ramírez,Witold Pedrycz
Publsiher: Springer Science & Business Media
Total Pages: 855
Release: 2007-06-05
ISBN 10: 3540724311
ISBN 13: 9783540724315
Language: EN, FR, DE, ES & NL

Analysis and Design of Intelligent Systems Using Soft Computing Techniques Book Review:

This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing techniques from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007.

Affine Arithmetic Based Solution of Uncertain Static and Dynamic Problems

Affine Arithmetic Based Solution of Uncertain Static and Dynamic Problems
Author: Snehashish Chakraverty,Saudamini Rout
Publsiher: Morgan & Claypool Publishers
Total Pages: 170
Release: 2020-04-01
ISBN 10: 1681737728
ISBN 13: 9781681737720
Language: EN, FR, DE, ES & NL

Affine Arithmetic Based Solution of Uncertain Static and Dynamic Problems Book Review:

Uncertainty is an inseparable component of almost every measurement and occurrence when dealing with real-world problems. Finding solutions to real-life problems in an uncertain environment is a difficult and challenging task. As such, this book addresses the solution of uncertain static and dynamic problems based on affine arithmetic approaches. Affine arithmetic is one of the recent developments designed to handle such uncertainties in a different manner which may be useful for overcoming the dependency problem and may compute better enclosures of the solutions. Further, uncertain static and dynamic problems turn into interval and/or fuzzy linear/nonlinear systems of equations and eigenvalue problems, respectively. Accordingly, this book includes newly developed efficient methods to handle the said problems based on the affine and interval/fuzzy approach. Various illustrative examples concerning static and dynamic problems of structures have been investigated in order to show the reliability and efficacy of the developed approaches.

Recurrent Neural Networks and Soft Computing

Recurrent Neural Networks and Soft Computing
Author: Mahmoud ElHefnawi,Mohamed Mysara
Publsiher: BoD – Books on Demand
Total Pages: 304
Release: 2012-03-30
ISBN 10: 9535104098
ISBN 13: 9789535104094
Language: EN, FR, DE, ES & NL

Recurrent Neural Networks and Soft Computing Book Review:

New applications in recurrent neural networks are covered by this book, which will be required reading in the field. Methodological tools covered include ranking indices for fuzzy numbers, a neuro-fuzzy digital filter and mapping graphs of parallel programmes. The scope of the techniques profiled in real-world applications is evident from chapters on the recognition of severe weather patterns, adult and foetal ECGs in healthcare and the prediction of temperature time-series signals. Additional topics in this vein are the application of AI techniques to electromagnetic interference problems, bioprocess identification and I-term control and the use of BRNN-SVM to improve protein-domain prediction accuracy. Recurrent neural networks can also be used in virtual reality and nonlinear dynamical systems, as shown by two chapters.

Fuzzy Optimization

Fuzzy Optimization
Author: Weldon A. Lodwick,JANUSZ KACPRZYK
Publsiher: Springer
Total Pages: 530
Release: 2010-07-23
ISBN 10: 3642139353
ISBN 13: 9783642139352
Language: EN, FR, DE, ES & NL

Fuzzy Optimization Book Review:

Optimization is an extremely important area in science and technology which provides powerful and useful tools and techniques for the formulation and solution of a multitude of problems in which we wish, or need, to to find a best possible option or solution. The volume is divided into a coupe of parts which present various aspects of fuzzy optimization, some related more general issues, and applications.

Combining Soft Computing and Statistical Methods in Data Analysis

Combining Soft Computing and Statistical Methods in Data Analysis
Author: Christian Borgelt,Gil González Rodríguez,Wolfgang Trutschnig,María Asunción Lubiano,María Angeles Gil,Przemyslaw Grzegorzewski,Olgierd Hryniewicz
Publsiher: Springer Science & Business Media
Total Pages: 644
Release: 2010-10-12
ISBN 10: 9783642147463
ISBN 13: 3642147461
Language: EN, FR, DE, ES & NL

Combining Soft Computing and Statistical Methods in Data Analysis Book Review:

Over the last forty years there has been a growing interest to extend probability theory and statistics and to allow for more flexible modelling of imprecision, uncertainty, vagueness and ignorance. The fact that in many real-life situations data uncertainty is not only present in the form of randomness (stochastic uncertainty) but also in the form of imprecision/fuzziness is but one point underlining the need for a widening of statistical tools. Most such extensions originate in a "softening" of classical methods, allowing, in particular, to work with imprecise or vague data, considering imprecise or generalized probabilities and fuzzy events, etc. About ten years ago the idea of establishing a recurrent forum for discussing new trends in the before-mentioned context was born and resulted in the first International Conference on Soft Methods in Probability and Statistics (SMPS) that was held in Warsaw in 2002. In the following years the conference took place in Oviedo (2004), in Bristol (2006) and in Toulouse (2008). In the current edition the conference returns to Oviedo. This edited volume is a collection of papers presented at the SMPS 2010 conference held in Mieres and Oviedo. It gives a comprehensive overview of current research into the fusion of soft methods with probability and statistics.

Soft Computing in Systems and Control Technology

Soft Computing in Systems and Control Technology
Author: S G Tzafestas
Publsiher: World Scientific
Total Pages: 508
Release: 1999-05-21
ISBN 10: 981449643X
ISBN 13: 9789814496438
Language: EN, FR, DE, ES & NL

Soft Computing in Systems and Control Technology Book Review:

Soft computing is a branch of computing which, unlike hard computing, can deal with uncertain, imprecise and inexact data. The three constituents of soft computing are fuzzy-logic-based computing, neurocomputing, and genetic algorithms. Fuzzy logic contributes the capability of approximate reasoning, neurocomputing offers function approximation and learning capabilities, and genetic algorithms provide a methodology for systematic random search and optimization. These three capabilities are combined in a complementary and synergetic fashion. This book presents a cohesive set of contributions dealing with important issues and applications of soft computing in systems and control technology. The contributions include state-of-the-art material, mathematical developments, fresh results, and how-to-do issues. Among the problems studied via neural, fuzzy, neurofuzzy and genetic methodologies are: data fusion, reinforcement learning, approximation properties, multichannel imaging, signal processing, system optimization, gaming, and several forms of control. The book can serve as a reference for researchers and practitioners in the field. Readers can find in it a large amount of useful and timely information, and thus save considerable effort in searching for other scattered literature. Contents:Neural Networks in System Identification and Control:Supervised Learning in Multilayer Perceptrons: The Back-Propagation Algorithm (S G Tzafestas & Y Anthopoulos)Identification of Two-Dimensional State Space Discrete Systems Using Neural Networks (D Wang & A Zilouchian)Neural Networks for Control (R J Mitchell)Neuro-Based Adaptive Regulator (T Tsuji et al.)Local Model Networks and Self-Tuning Predictive Control (P J Gawthrop & E Ronco)Fuzzy and Neuro-Fuzzy Systems in Modeling, Control and Robot Path Planning:An On-Line Self Constructing Fuzzy Modeling Architecture Based on Neural and Fuzzy Concepts and Techniques (S G Tzafestas & K C Zikidis)Neuro-Fuzzy Model Based Control (D Matko et al.)Fuzzy and Neurofuzzy Approaches to Mobile Robot Path and Motion Planning Under Uncertainty (C S Tzafestas & S G Tzafestas)Genetic-Evolutionary Algorithms:A Tutorial Overview of Genetic Algorithms and Their Applications (S G Tzafestas et al.)Results from a Variety of Genetic Algorithm Applications Showing the Robustness of the Approach (W D Potter et al.)Evolutionary Algorithms in Computer-Aided Design of Integrated Circuits (R Drechsler et al.)Soft Computing Applications:Soft Data Fusion (C G Looney & Y Varol)Application of Neural Networks to Computer Gaming (N Baba)Coherent Neural Networks and Their Applications to Control and Signal Processing (A Hirose)Neural, Fuzzy and Evolutionary Reinforcement Learning Systems: An Application Case Study (D A Linkens & H O Nyongesa)Neural Networks in Industrial and Environmental Applications (G C Smith & C L Wrobel) Readership: Researchers and practitioners in systems and control engineering. Keywords:

Recent Developments and the New Direction in Soft Computing Foundations and Applications

Recent Developments and the New Direction in Soft Computing Foundations and Applications
Author: Shahnaz N. Shahbazova,Janusz Kacprzyk,Valentina Emilia Balas,Vladik Kreinovich
Publsiher: Springer Nature
Total Pages: 576
Release: 2020-07-10
ISBN 10: 3030471241
ISBN 13: 9783030471248
Language: EN, FR, DE, ES & NL

Recent Developments and the New Direction in Soft Computing Foundations and Applications Book Review:

This book gathers authoritative contributions in the field of Soft Computing. Based on selected papers presented at the 7th World Conference on Soft Computing, which was held on May 29–31, 2018, in Baku, Azerbaijan, it describes new theoretical advances, as well as cutting-edge methods and applications. New theories and algorithms in fuzzy logic, cognitive modeling, graph theory and metaheuristics are discussed, and applications in data mining, social networks, control and robotics, geoscience, biomedicine and industrial management are described. This book offers a timely, broad snapshot of recent developments, including thought-provoking trends and challenges that are yielding new research directions in the diverse areas of Soft Computing.