• Sign In / Register
  • Help
  • Basket0
Neural Fuzzy Control Systems With Structure And Parameter Learning (Hardback)
  • Neural Fuzzy Control Systems With Structure And Parameter Learning (Hardback)
zoom

Neural Fuzzy Control Systems With Structure And Parameter Learning (Hardback)

(author)
£48.00
Hardback 144 Pages / Published: 01/02/1994
  • We can order this

Usually despatched within 3 weeks

  • This item has been added to your basket
A general neural-network-based connectionist model, called Fuzzy Neural Network (FNN), is proposed in this book for the realization of a fuzzy logic control and decision system. The FNN is a feedforward multi-layered network which integrates the basic elements and functions of a traditional fuzzy logic controller into a connectionist structure which has distributed learning abilities.In order to set up this proposed FNN, the author recommends two complementary structure/parameter learning algorithms: a two-phase hybrid learning algorithm and an on-line supervised structure/parameter learning algorithm.Both of these learning algorithms require exact supervised training data for learning. In some real-time applications, exact training data may be expensive or even impossible to get. To solve this reinforcement learning problem for real-world applications, a Reinforcement Fuzzy Neural Network (RFNN) is further proposed. Computer simulation examples are presented to illustrate the performance and applicability of the proposed FNN, RFNN and their associated learning algorithms for various applications.

Publisher: World Scientific Publishing Co Pte Ltd
ISBN: 9789810216139
Number of pages: 144

You may also be interested in...

Reviews

Please sign in to write a review

Your review has been submitted successfully.