Computer Vision and Fuzzy-neural Systems PDF Download

Author: Arun D. Kulkarni
Publisher: Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 538

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Book Description
CD-ROM contains: BackProp -- Data files -- Display -- Images -- MATLAB examples

Author: James Keller
Publisher:
ISBN: 9780780321953
Category : Fuzzy logic
Languages : en
Pages :

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Book Description
Surveys the insertion of fuzzy set theory and neural networks into various aspects of computer vision. Demonstrates how classical operations in computer vision can be cast into the framework of fuzzy set theory, and how resulting algorithms can enhance the overall quality of the results providing information about the certainty of final assignements. Also discusses the interplay between fuzzy set theory and neural networks as they apply to computer vision problems.

Author: Chi-hau Chen
Publisher: McGraw-Hill Companies
ISBN:
Category : Computers
Languages : en
Pages : 862

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Book Description
A practical reference that presents concise and comprehensive reports on the major activities in fuzzy logic and neural networks, with emphasis on the applications and systems of interest to computer engineers. Each of the 31 chapters focuses on the most important activity of a specific topic, and the chapters are organized into three parts: principles and algorithms; applications; and architectures and systems. The applications for fuzzy logic include home appliance design and manufacturing process; those for neural networks include radar, sonar, and speech signal processing, remote sensing, and electrical power systems. Annotation copyright by Book News, Inc., Portland, OR

Author: Masao Mukaidono
Publisher: World Scientific
ISBN: 9810245343
Category : Computers
Languages : en
Pages : 117

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Book Description
There are many uncertainties in the real world. Fuzzy theory treats a kind of uncertainty called fuzziness, where it shows that the boundary of yes or no is ambiguous and appears in the meaning of words or is included in the subjunctives or recognition of human beings. Fuzzy theory is essential and is applicable to many systems -- from consumer products like washing machines or refrigerators to big systems like trains or subways. Recently, fuzzy theory has been a strong tool for combining new theories (called soft computing) such as genetic algorithms or neural networks to get knowledge from real data. This introductory book enables the reader to understand easily what fuzziness is and how one can apply fuzzy theory to real problems -- which explains why it was a best-seller in Japan.

Author: Nikola K. Kasabov
Publisher: Marcel Alencar
ISBN: 0262112124
Category : Artificial intelligence
Languages : en
Pages : 581

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Book Description
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: Bart Kosko
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 488

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Book Description
Written by one of the foremost experts in the field of neural networks, this is the first book to combine the theories and applications or neural networks and fuzzy systems. The book is divided into three sections: Neural Network Theory, Neural Network Applications, and Fuzzy Theory and Applications. It describes how neural networks can be used in applications such as: signal and image processing, function estimation, robotics and control, analog VLSI and optical hardware design; and concludes with a presentation of the new geometric theory of fuzzy sets, systems, and associative memories.

Author: Yan-Qing Zhang
Publisher: World Scientific
ISBN: 9789810233495
Category : Computers
Languages : en
Pages : 206

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Book Description
This book presents a powerful hybrid intelligent system based on fuzzy logic, neural networks, genetic algorithms and related intelligent techniques. The new compensatory genetic fuzzy neural networks have been widely used in fuzzy control, nonlinear system modeling, compression of a fuzzy rule base, expansion of a sparse fuzzy rule base, fuzzy knowledge discovery, time series prediction, fuzzy games and pattern recognition. This effective soft computing system is able to perform both linguistic-word-level fuzzy reasoning and numerical-data-level information processing. The book also proposes various novel soft computing techniques.

Author: Vojislav Kecman
Publisher: MIT Press
ISBN: 9780262112550
Category : Computers
Languages : en
Pages : 556

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Book Description
This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book assumes that it is not only useful, but necessary, to treat SVM, NN, and FLS as parts of a connected whole. Throughout, the theory and algorithms are illustrated by practical examples, as well as by problem sets and simulated experiments. This approach enables the reader to develop SVM, NN, and FLS in addition to understanding them. The book also presents three case studies: on NN-based control, financial time series analysis, and computer graphics. A solutions manual and all of the MATLAB programs needed for the simulated experiments are available.

Author: Ronald R. Yager
Publisher: Van Nostrand Reinhold Company
ISBN:
Category : Computers
Languages : en
Pages : 456

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Book Description
Brings together chapters by experts involved in a new area based on the confluence of genetic algorithms, fuzzy systems, and neural networks. Papers cover the broad ground of fuzzy logic control, neural fuzzy systems, genetic fuzzy systems, process control, and adaptive systems. Topics include the composition of heterogeneous control laws, ellipsoidal learning and fuzzy throttle control for platoons of smart cars, supervised and unsupervised learning, and propagation and satisfaction of flexible constraints. Annotation copyright by Book News, Inc., Portland, OR

Author: Bruno Bosacchi
Publisher: SPIE-International Society for Optical Engineering
ISBN:
Category : Computers
Languages : en
Pages : 326

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Book Description