Fuzzy Neural Intelligent Systems: Mathematical Foundation and the Applications in EngineeringAlthough 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. 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. |
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... Fuzzy neural intelligent systems : mathematical foundation and the applications in engineering / Hongxing Li , C.L. Philip Chen , Han - Pang Huang . p . cm . Includes ... Fuzzy systems and neural networks have been regarded as.
... fuzzy systems indeed demonstrate their exceptional intelligent capability for computing and learning . However , we may be aware that there is little theoretical support for existing neuro - fuzzy systems , especially their mathematical ...
... fuzzy inference and neural networks . Chapter 9 discusses interpolation mechanisms of fuzzy control including some innovative methods and important results . Chapter 10 shows the relations between fuzzy logic controllers and PID ...
... fuzzy neural systems , manufacturing automation and robotics , and related areas . We also thank Cindy Carelli , Steve Menke , and Helena Redshaw at CRC Press for their skillful coordination of the production ... Fuzzy Systems 1.1 Definition.
... Fuzzy Systems 1.1 Definition of Fuzzy Sets , 1 1.2 Basic Operations of Fuzzy Sets , 6 1.3 The Resolution Theorem , 8 1.4 A Representation Theorem , 12 1.5 Extension Principle , 17 References , 22 1 2. Determination of Membership ...
Contents
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23 | |
Mathematical Essence and Structures of Feedforward Artificial Neural Networks | 47 |
Functionallink Neural Networks and Visualization Means of Some Mathematical Methods | 72 |
Flat Neural Networks and Rapid Learning Algorithms | 90 |
Basic Structure of Fuzzy Neural Networks | 113 |
Mathematical Essence and Structures of Feedback Neural Networks and Weight Matrix Design | 126 |
Generalized Additive Weighted Multifactorial Function and its Applications to Fuzzy Inference and Neural Networks | 140 |
Adaptive Fuzzy Controllers Based on Variable Universes | 181 |
The Basics of Factor Spaces | 197 |
Neuron Models Based on Factor Spaces Theory and Factor Space Canes | 219 |
Foundation of NeuroFuzzy Systems and an Engineering Application | 241 |
Data Preprocessing | 255 |
Control of a Flexible Robot Arm using a Simplified Fuzzy Controller | 267 |
Application of NeuroFuzzy Systems Development of a Fuzzy Learning Decision Tree and Application to Tactile Recognition | 295 |
Fuzzy Assessment Systems of Rehabilitative Process for CVA Patients | 322 |
The Interpolation Mechanism of Fuzzy Control | 152 |
The Relationship between Fuzzy Controllers and PID Controllers | 165 |
A DSPbased Neural Controller for a Multidegree Prosthetic Hand | 351 |
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Fuzzy Neural Intelligent Systems: Mathematical Foundation and the ... Hongxing Li,C.L. Philip Chen,Han-Pang Huang No preview available - 2000 |