Author :
Publisher :
Page : 304 pages
File Size : 49,10 MB
Release : 2002
Category : Evolutionary computation
ISBN :
[PDF] Applications And Science Of Neural Networks Fuzzy Systems And Evolutionary Computation eBook
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Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation II
Author : Bruno Bosacchi
Publisher : SPIE-International Society for Optical Engineering
Page : 326 pages
File Size : 41,59 MB
Release : 1999
Category : Computers
ISBN :
Computational Intelligence
Author : Nazmul Siddique
Publisher : John Wiley & Sons
Page : 524 pages
File Size : 13,95 MB
Release : 2013-05-06
Category : Technology & Engineering
ISBN : 1118534816
Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy systems, evolutionary-fuzzy systems and evolutionary neural systems. Applications to linear and non-linear systems are discussed with examples. Key features: Covers all the aspects of fuzzy, neural and evolutionary approaches with worked out examples, MATLAB® exercises and applications in each chapter Presents the synergies of technologies of computational intelligence such as evolutionary fuzzy neural fuzzy and evolutionary neural systems Considers real world problems in the domain of systems modelling, control and optimization Contains a foreword written by Lotfi Zadeh Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing is an ideal text for final year undergraduate, postgraduate and research students in electrical, control, computer, industrial and manufacturing engineering.
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation VI
Author : Bruno Bosacchi
Publisher : Society of Photo Optical
Page : 250 pages
File Size : 39,77 MB
Release : 2003
Category : Science
ISBN : 9780819450739
Fundamentals of Computational Intelligence
Author : James M. Keller
Publisher : John Wiley & Sons
Page : 378 pages
File Size : 31,15 MB
Release : 2016-07-13
Category : Technology & Engineering
ISBN : 111921436X
Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems Fundamentals of Computational intelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation IV
Author : Bruno Bosacchi
Publisher : Society of Photo Optical
Page : 198 pages
File Size : 26,29 MB
Release : 2001
Category : Computers
ISBN : 9780819441935
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation
Author : David B. Fogel
Publisher : Society of Photo Optical
Page : 342 pages
File Size : 23,45 MB
Release : 1998
Category : Technology & Engineering
ISBN : 9780819429100
Computational Intelligence And Its Applications: Evolutionary Computation, Fuzzy Logic, Neural Network And Support Vector Machine Techniques
Author : Hung Tan Nguyen
Publisher : World Scientific
Page : 318 pages
File Size : 49,13 MB
Release : 2012-07-17
Category : Computers
ISBN : 1908977078
This book focuses on computational intelligence techniques and their applications — fast-growing and promising research topics that have drawn a great deal of attention from researchers over the years. It brings together many different aspects of the current research on intelligence technologies such as neural networks, support vector machines, fuzzy logic and evolutionary computation, and covers a wide range of applications from pattern recognition and system modeling, to intelligent control problems and biomedical applications. Fundamental concepts and essential analysis of various computational techniques are presented to offer a systematic and effective tool for better treatment of different applications, and simulation and experimental results are included to illustrate the design procedure and the effectiveness of the approaches./a
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation III
Author :
Publisher :
Page : 254 pages
File Size : 39,29 MB
Release : 2000
Category : Evolutionary computation
ISBN : 9780819445544
NEURAL NETWORKS, FUZZY SYSTEMS AND EVOLUTIONARY ALGORITHMS : SYNTHESIS AND APPLICATIONS
Author : S. RAJASEKARAN
Publisher : PHI Learning Pvt. Ltd.
Page : 574 pages
File Size : 14,85 MB
Release : 2017-05-01
Category : Computers
ISBN : 812035334X
The second edition of this book provides a comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence, which in recent years, has turned synonymous to it. The constituent technologies discussed comprise neural network (NN), fuzzy system (FS), evolutionary algorithm (EA), and a number of hybrid systems, which include classes such as neuro-fuzzy, evolutionary-fuzzy, and neuro-evolutionary systems. The hybridization of the technologies is demonstrated on architectures such as fuzzy backpropagation network (NN-FS hybrid), genetic algorithm-based backpropagation network (NN-EA hybrid), simplified fuzzy ARTMAP (NN-FS hybrid), fuzzy associative memory (NN-FS hybrid), fuzzy logic controlled genetic algorithm (EA-FS hybrid) and evolutionary extreme learning machine (NN-EA hybrid) Every architecture has been discussed in detail through illustrative examples and applications. The algorithms have been presented in pseudo-code with a step-by-step illustration of the same in problems. The applications, demonstrative of the potential of the architectures, have been chosen from diverse disciplines of science and engineering. This book, with a wealth of information that is clearly presented and illustrated by many examples and applications, is designed for use as a text for the courses in soft computing at both the senior undergraduate and first-year postgraduate levels of computer science and engineering. It should also be of interest to researchers and technologists desirous of applying soft computing technologies to their respective fields of work.