Fuzzy-neural Control: Principles, Algorithms, and Applications

Front Cover
Prentice Hall, 1995 - Fuzzy systems. - 243 pages
0 Reviews
Shows how Fuzzy Logic and Neural Networks can be intgrated into a Model Reference Control context for real-time control of multivariable systems. It provides a unified architecture which accommodates several popular learning/reasoning paradigms, including Counter Propagation Networks, Radial Basis Functions and CMAC a fuzzy context. Unified treatment of fuzzy-algorithm-based and neural network based control systems. Introduces new fuzzy-nueral controller structures. Demonstrates the feasibility of proposed approach by showing applications. Graduate students of Neural Networks, Intellegent Control and fuzzy matters in depts of Electrical Engineering, Computer Science and Maths.

From inside the book

What people are saying - Write a review

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


A unified approximate reasoning approach
an application

10 other sections not shown

Common terms and phrases

References to this book

All Book Search results »

Bibliographic information