The Novel AND-OR Fuzzy Neural Network

A novel AND-OR fuzzy neural network is introduced and the symbol expression is educed in every layer. The equivalence between fuzzy inference and AND-OR FNN is proved. An approach to auto-extracting fuzzy rules is obtained by training the structure of the AND-OR FNN. The AND-OR FNN adaptive controller for ship control is designed, whose superiority is shown by comparing to the conventional fuzzy control system. Though the input space is reduced and the number of rules is decreased, the simulation results illustrate the approach is practicable, simple and effective and the performance index is much better.