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Author :
Publisher :
ISBN 13 :
Total Pages : 304 pages
Book Rating : 4.3/5 (91 download)
Download or read book Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation written by and published by . This book was released on 2002 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bruno Bosacchi
Publisher : SPIE-International Society for Optical Engineering
ISBN 13 :
Total Pages : 326 pages
Book Rating : 4.F/5 ( download)
Download or read book Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation II written by Bruno Bosacchi and published by SPIE-International Society for Optical Engineering. This book was released on 1999 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : S. RAJASEKARAN
Publisher : PHI Learning Pvt. Ltd.
ISBN 13 : 812035334X
Total Pages : 574 pages
Book Rating : 4.1/5 (23 download)
Download or read book NEURAL NETWORKS, FUZZY SYSTEMS AND EVOLUTIONARY ALGORITHMS : SYNTHESIS AND APPLICATIONS written by S. RAJASEKARAN and published by PHI Learning Pvt. Ltd.. This book was released on 2017-05-01 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Bruno Bosacchi
Publisher : Society of Photo Optical
ISBN 13 : 9780819450739
Total Pages : 250 pages
Book Rating : 4.4/5 (57 download)
Download or read book Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation VI written by Bruno Bosacchi and published by Society of Photo Optical. This book was released on 2003 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bruno Bosacchi
Publisher : Society of Photo Optical
ISBN 13 : 9780819441935
Total Pages : 198 pages
Book Rating : 4.4/5 (419 download)
Download or read book Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation IV written by Bruno Bosacchi and published by Society of Photo Optical. This book was released on 2001 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : David B. Fogel
Publisher : Society of Photo Optical
ISBN 13 : 9780819429100
Total Pages : 342 pages
Book Rating : 4.4/5 (291 download)
Download or read book Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation written by David B. Fogel and published by Society of Photo Optical. This book was released on 1998 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : James M. Keller
Publisher : John Wiley & Sons
ISBN 13 : 111921436X
Total Pages : 378 pages
Book Rating : 4.1/5 (192 download)
Download or read book Fundamentals of Computational Intelligence written by James M. Keller and published by John Wiley & Sons. This book was released on 2016-07-13 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Nazmul Siddique
Publisher : John Wiley & Sons
ISBN 13 : 1118534816
Total Pages : 524 pages
Book Rating : 4.1/5 (185 download)
Download or read book Computational Intelligence written by Nazmul Siddique and published by John Wiley & Sons. This book was released on 2013-05-06 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author :
Publisher :
ISBN 13 : 9780819445544
Total Pages : 254 pages
Book Rating : 4.4/5 (455 download)
Download or read book Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation III written by and published by . This book was released on 2000 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Hung Tan Nguyen
Publisher : World Scientific
ISBN 13 : 1908977078
Total Pages : 318 pages
Book Rating : 4.9/5 (89 download)
Download or read book Computational Intelligence And Its Applications: Evolutionary Computation, Fuzzy Logic, Neural Network And Support Vector Machine Techniques written by Hung Tan Nguyen and published by World Scientific. This book was released on 2012-07-17 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Author : James C. Bezdek
Publisher : Society of Photo Optical
ISBN 13 : 9780819445544
Total Pages : 282 pages
Book Rating : 4.4/5 (455 download)
Download or read book Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V written by James C. Bezdek and published by Society of Photo Optical. This book was released on 2002 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Lakhmi C. Jain
Publisher : CRC Press
ISBN 13 : 1000722945
Total Pages : 366 pages
Book Rating : 4.0/5 (7 download)
Download or read book Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms written by Lakhmi C. Jain and published by CRC Press. This book was released on 2020-01-29 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for their design. Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms integrates neural net, fuzzy system, and evolutionary computing in system design that enables its readers to handle complexity - offsetting the demerits of one paradigm by the merits of another. This book presents specific projects where fusion techniques have been applied. The chapters start with the design of a new fuzzy-neural controller. Remaining chapters discuss the application of expert systems, neural networks, fuzzy control, and evolutionary computing techniques in modern engineering systems. These specific applications include: direct frequency converters electro-hydraulic systems motor control toaster control speech recognition vehicle routing fault diagnosis Asynchronous Transfer Mode (ATM) communications networks telephones for hard-of-hearing people control of gas turbine aero-engines telecommunications systems design Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms covers the spectrum of applications - comprehensively demonstrating the advantages of fusion techniques in industrial applications.
Author : Da Ruan
Publisher : Springer Science & Business Media
ISBN 13 : 1461561914
Total Pages : 364 pages
Book Rating : 4.4/5 (615 download)
Download or read book Intelligent Hybrid Systems written by Da Ruan and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms is an organized edited collection of contributed chapters covering basic principles, methodologies, and applications of fuzzy systems, neural networks and genetic algorithms. All chapters are original contributions by leading researchers written exclusively for this volume. This book reviews important concepts and models, and focuses on specific methodologies common to fuzzy systems, neural networks and evolutionary computation. The emphasis is on development of cooperative models of hybrid systems. Included are applications related to intelligent data analysis, process analysis, intelligent adaptive information systems, systems identification, nonlinear systems, power and water system design, and many others. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms provides researchers and engineers with up-to-date coverage of new results, methodologies and applications for building intelligent systems capable of solving large-scale problems.
Author : Bruno Bosacchi
Publisher :
ISBN 13 :
Total Pages : 282 pages
Book Rating : 4.:/5 (114 download)
Download or read book Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V written by Bruno Bosacchi and published by . This book was released on 2002 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bruno Bosacchi
Publisher :
ISBN 13 :
Total Pages : 198 pages
Book Rating : 4.:/5 (114 download)
Download or read book Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation IV written by Bruno Bosacchi and published by . This book was released on 2001 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bruno Bosacchi
Publisher :
ISBN 13 :
Total Pages : 342 pages
Book Rating : 4.:/5 (114 download)
Download or read book Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation written by Bruno Bosacchi and published by . This book was released on 1998 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : S. RAJASEKARAN
Publisher : PHI Learning Pvt. Ltd.
ISBN 13 : 8120321863
Total Pages : 459 pages
Book Rating : 4.1/5 (23 download)
Download or read book NEURAL NETWORKS, FUZZY LOGIC AND GENETIC ALGORITHM written by S. RAJASEKARAN and published by PHI Learning Pvt. Ltd.. This book was released on 2003-01-01 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence. The constituent technologies discussed comprise neural networks, fuzzy logic, genetic algorithms, and a number of hybrid systems which include classes such as neuro-fuzzy, fuzzy-genetic, and neuro-genetic systems. The hybridization of the technologies is demonstrated on architectures such as Fuzzy-Back-propagation Networks (NN-FL), Simplified Fuzzy ARTMAP (NN-FL), and Fuzzy Associative Memories. The book also gives an exhaustive discussion of FL-GA hybridization. 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 courses in soft computing at both the senior undergraduate and first-year post-graduate engineering levels. It should also be of interest to researchers and technologists desirous of applying soft computing technologies to their respective fields of work.
