Fuzzy Neural Intelligent Systems: Mathematical Foundation and the Applications in Engineering

Front Cover
CRC Press, Sep 21, 2000 - Computers - 392 pages
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.

    What people are saying - Write a review

    We haven't found any reviews in the usual places.


    Chapter 1 Foundation of Fuzzy Systems
    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

    Bibliographic information