Abstract

Aiming at the problems in pattern recognition of bonding defect of thin composite materials, a new fuzzy neural network (FNN) pattern recognition method was proposed via taking full advantage of processing fuzzy information of the fuzzy pattern recognition and self-learning of the neural network (NN) pattern recognition. The structure characteristics and realization approach of the algorithm were discussed detailed. The results indicated that the method could effectively recognize the bonding defect of thin composite materials, and also lay the foundation for quantization of results.

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