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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... neuro - fuzzy system is defined as a combination of fuzzy systems and neural networks such that the parameters of fuzzy systems are determined by neural network learning algorithms . The intention is to take the advantage of neural ...
... fuzzy neural and neuro - fuzzy systems . Chapter 18 shows the application of hybrid neural network and fuzzy systems . Chapter 19 gives the on - line learning and DSP implementation of fuzzy neural systems , followed by myoelectric ...
... Neuro - Fuzzy Systems and an Engineering Application 14.1 Introduction , 241 14.2 Takagi , Sugeno , and Kang Fuzzy Model , 242 14.3 Adaptive Network - based Fuzzy Inference System ( ANFIS ) , 243 14.4 Hybrid Learning Algorithm for ANFIS ...
... Fuzzy Control , 280 16.4.1 Reference Model , 281 16.4.2 Incremental Model , 283 16.4.3 Parameter Decision , 286 16.5 Simulation Results , 286 16.6 Conclusions , 288 References , 293 17. Application of Neuro - Fuzzy Systems : Development ...
... Fuzzy Information Engineering , John Wiley and Sons , New York , 1997 . 11. C. T. Lin and C. S. G. Lee , Neural Fuzzy Systems , Prentice - Hall , Englewood Cliffs , 1996 . 12. J. S. Jang , C. T. Sun , and E. Mizutani , Neuro - Fuzzy and ...
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 |
Other editions - View all
Fuzzy Neural Intelligent Systems: Mathematical Foundation and the ... Hongxing Li,C.L. Philip Chen,Han-Pang Huang No preview available - 2000 |