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