Fuzzy And Neural Approaches In Engineering

Author : Lefteri H. Tsoukalas
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 618 pages
Book Rating : 4.98/5 ( download)

DOWNLOAD NOW!

Download or read book Fuzzy And Neural Approaches in Engineering written by Lefteri H. Tsoukalas and published by Wiley-Interscience. This book was released on 1997-02-05 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. This definitive book presents the fundamentals of both technologies, and demonstrates how to combine the unique capabilities of these two technologies for the greatest advantage. Steering clear of unnecessary mathematics, the book highlights a wide range of dynamic possibilities and offers numerous examples to illuminate key concepts. It also explores the value of relating genetic algorithms and expert systems to fuzzy and neural technologies.

Author : Nikola K. Kasabov
Publisher : Marcel Alencar
ISBN 13 : 0262112124
Total Pages : 581 pages
Book Rating : 4.23/5 ( download)

DOWNLOAD NOW!

Download or read book Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering written by Nikola K. Kasabov and published by Marcel Alencar. This book was released on 1996 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI problems (pattern recognition, speech recognition, prediction, decision-making, game-playing) and provides illustrative examples. Includes applications in engineering, business and finance.

Author : Lefteri H. Tsoukalas
Publisher : Wiley-Interscience
ISBN 13 : 9780471192473
Total Pages : 224 pages
Book Rating : 4.73/5 ( download)

DOWNLOAD NOW!

Download or read book Fuzzy and Neural Approaches in Engineering, MATLAB Supplement written by Lefteri H. Tsoukalas and published by Wiley-Interscience. This book was released on 1997-05-06 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. This definitive book presents the fundamentals of both technologies, and demonstrates how to combine the unique capabilities of these two technologies for the greatest advantage. Steering clear of unnecessary mathematics, the book highlights a wide range of dynamic possibilities and offers numerous examples to illuminate key concepts. It also explores the value of relating genetic algorithms and expert systems to fuzzy and neural technologies.

Author : Hung T. Nguyen
Publisher : CRC Press
ISBN 13 : 1420035525
Total Pages : 314 pages
Book Rating : 4.20/5 ( download)

DOWNLOAD NOW!

Download or read book A First Course in Fuzzy and Neural Control written by Hung T. Nguyen and published by CRC Press. This book was released on 2002-11-12 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the use of fuzzy control methods has grown nearly to the level of classical control, the true understanding of fuzzy control lags seriously behind. Moreover, most engineers are well versed in either traditional control or in fuzzy control-rarely both. Each has applications for which it is better suited, but without a good understanding of

Author : Puyin Liu
Publisher : World Scientific
ISBN 13 : 9789812794215
Total Pages : 400 pages
Book Rating : 4.12/5 ( download)

DOWNLOAD NOW!

Download or read book Fuzzy Neural Network Theory and Application written by Puyin Liu and published by World Scientific. This book was released on 2004 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book systematically synthesizes research achievements in the field of fuzzy neural networks in recent years. It also provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system modeling and image restoration. Special emphasis is placed on the fundamental concepts and architecture analysis of fuzzy neural networks. The book is unique in treating all kinds of fuzzy neural networks and their learning algorithms and universal approximations, and employing simulation examples which are carefully designed to help the reader grasp the underlying theory. This is a valuable reference for scientists and engineers working in mathematics, computer science, control or other fields related to information processing. It can also be used as a textbook for graduate courses in applied mathematics, computer science, automatic control and electrical engineering. Contents: Fuzzy Neural Networks for Storing and Classifying; Fuzzy Associative Memory OCo Feedback Networks; Regular Fuzzy Neural Networks; Polygonal Fuzzy Neural Networks; Approximation Analysis of Fuzzy Systems; Stochastic Fuzzy Systems and Approximations; Application of FNN to Image Restoration. Readership: Scientists, engineers and graduate students in applied mathematics, computer science, automatic control and information processing."

Author : Ram, Mangey
Publisher : IGI Global
ISBN 13 : 1522557105
Total Pages : 488 pages
Book Rating : 4.04/5 ( download)

DOWNLOAD NOW!

Download or read book Advanced Fuzzy Logic Approaches in Engineering Science written by Ram, Mangey and published by IGI Global. This book was released on 2018-09-14 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic techniques have had extraordinary growth in various engineering systems. The developments in engineering sciences have caused apprehension in modern years due to high-tech industrial processes with ever-increasing levels of complexity. Advanced Fuzzy Logic Approaches in Engineering Science provides innovative insights into a comprehensive range of soft fuzzy logic techniques applied in various fields of engineering problems like fuzzy sets theory, adaptive neuro fuzzy inference system, and hybrid fuzzy logic genetic algorithms belief networks in industrial and engineering settings. The content within this publication represents the work of particle swarms, fuzzy computing, and rough sets. It is a vital reference source for engineers, research scientists, academicians, and graduate-level students seeking coverage on topics centered on the applications of fuzzy logic in high-tech industrial processes.

Author : Arun D. Kulkarni
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 538 pages
Book Rating : 4.24/5 ( download)

DOWNLOAD NOW!

Download or read book Computer Vision and Fuzzy-neural Systems written by Arun D. Kulkarni and published by Prentice Hall. This book was released on 2001 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM contains: BackProp -- Data files -- Display -- Images -- MATLAB examples

Author : David A. White
Publisher : Van Nostrand Reinhold Company
ISBN 13 :
Total Pages : 600 pages
Book Rating : 4.56/5 ( download)

DOWNLOAD NOW!

Download or read book Handbook of Intelligent Control written by David A. White and published by Van Nostrand Reinhold Company. This book was released on 1992 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook shows the reader how to develop neural networks and apply them to various engineering control problems. Based on a workshop on aerospace applications, this tutorial covers integration of neural networks with existing control architectures as well as new neurocontrol architectures in nonlinear control.

Author : Yaochu Jin
Publisher : Physica
ISBN 13 : 3790817716
Total Pages : 276 pages
Book Rating : 4.13/5 ( download)

DOWNLOAD NOW!

Download or read book Advanced Fuzzy Systems Design and Applications written by Yaochu Jin and published by Physica. This book was released on 2012-12-06 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy rule systems have found a wide range of applications in many fields of science and technology. Traditionally, fuzzy rules are generated from human expert knowledge or human heuristics for relatively simple systems. In the last few years, data-driven fuzzy rule generation has been very active. Compared to heuristic fuzzy rules, fuzzy rules generated from data are able to extract more profound knowledge for more complex systems. This book presents a number of approaches to the generation of fuzzy rules from data, ranging from the direct fuzzy inference based to neural net works and evolutionary algorithms based fuzzy rule generation. Besides the approximation accuracy, special attention has been paid to the interpretabil ity of the extracted fuzzy rules. In other words, the fuzzy rules generated from data are supposed to be as comprehensible to human beings as those generated from human heuristics. To this end, many aspects of interpretabil ity of fuzzy systems have been discussed, which must be taken into account in the data-driven fuzzy rule generation. In this way, fuzzy rules generated from data are intelligible to human users and therefore, knowledge about unknown systems can be extracted.

Author : Hongxing Li
Publisher : CRC Press
ISBN 13 : 9781420057997
Total Pages : 398 pages
Book Rating : 4.95/5 ( download)

DOWNLOAD NOW!

Download or read book Fuzzy Neural Intelligent Systems written by Hongxing Li and published by CRC Press. This book was released on 2018-10-03 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although fuzzy systems and neural networks are central to the field of soft computing, most research work has focused on the development of the theories, algorithms, and designs of systems for specific applications. There has been little theoretical support for fuzzy neural systems, especially their mathematical foundations. Fuzzy Neural Intelligent Systems fills this gap. It develops a mathematical basis for fuzzy neural networks, offers a better way of combining fuzzy logic systems with neural networks, and explores some of their engineering applications. Dividing their focus into three main areas of interest, the authors give a systematic, comprehensive treatment of the relevant concepts and modern practical applications: Fundamental concepts and theories for fuzzy systems and neural networks. Foundation for fuzzy neural networks and important related topics Case examples for neuro-fuzzy systems, fuzzy systems, neural network systems, and fuzzy-neural systems Suitable for self-study, as a reference, and ideal as a textbook, Fuzzy Neural Intelligent Systems is accessible to students with a basic background in linear algebra and engineering mathematics. Mastering the material in this textbook will prepare students to better understand, design, and implement fuzzy neural systems, develop new applications, and further advance the field.