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

Front Cover
CRC Press, Oct 3, 2018 - 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.

    Contents

    Determination of Membership Functions
    2
    Functionallink Neural Networks and Visualization Means of Some Mathematical Methods
    4
    Mathematical Essence and Structures of Feedforward Artificial Neural Networks
    15
    Control of a Flexible Robot Arm using a Simplified Fuzzy Controller
    16
    Flat Neural Networks and Rapid Learning Algorithms
    5
    Generalized Additive Weighted Multifactorial Function and its Applications to Fuzzy
    8
    Mathematical Essence and Structures of Feedback Neural Networks and Weight Matrix
    25
    The Relationship between Fuzzy Controllers and PID Controllers
    25
    The Basics of Factor Spaces
    25
    Neuron Models Based on Factor Spaces Theory and Factor Space Canes
    25
    Foundation of NeuroFuzzy Systems and an Engineering Application
    25
    Data Preprocessing
    28
    Controllers
    10
    Development of a Fuzzy Learning Decision Tree
    17
    Adaptive Fuzzy Controllers Based on Variable Universes
    11
    Copyright

    Other editions - View all

    Common terms and phrases

    Bibliographic information