## 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. 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: 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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### Contents

Chapter 2 Determination of Membership Functions | |

Chapter 3 Mathematical Essence and Structures of Feedforward Artificial Neural Networks | |

Chapter 4 Functionallink Neural Networks and Visualization Means of Some Mathematical Methods | |

Chapter 5 Flat Neural Networks and Rapid Learning Algorithms | |

Chapter 6 Basic Structure of Fuzzy Neural Networks | |

Chapter 7 Mathematical Essence and Structures of Feedback Neural Networks and Weight Matrix Design | |

Chapter 8 Generalized Additive Weighted Multifactorial Function and its Applications to Fuzzy Inference and Neural Networks | |

Chapter 11 Adaptive Fuzzy Controllers Based on Variable Universes | |

Chapter 12 The Basics of Factor Spaces | |

Chapter 13 Neuron Models Based on Factor Spaces Theory and Factor Space Canes | |

Chapter 14 Foundation of NeuroFuzzy Systems and an Engineering Application | |

Chapter 15 Data Preprocessing | |

Chapter 16 Control of a Flexible Robot Arm using a Simplified Fuzzy Controller | |

Chapter 17 Application of NeuroFuzzy Systems | |

Chapter 18 Fuzzy Assessment Systems of Rehabilitative Process for CVA Patients | |

Chapter 9 The Interpolation Mechanism of Fuzzy Control | |

Chapter 10 The Relationship between Fuzzy Controllers and PID Controllers | |

Chapter 19 A DSPbased Neural Controller for a Multidegree Prosthetic Hand | |

### 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 |