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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...