An Algorithm for Fuzzy Pattern Recognition Based on Neural Networks

Abstract

According to principles of fuzzy mathematics and neural networks, a new model on neural networks, by which fuzzy patterns can be better recognized, is presented in this paper. This model combines the thoughts of neural networks and maximum membership function. Thus the insufficiency in semantic expressions of neural networks can be compensated for. In the… (More)
DOI: 10.1007/11816157_33

Topics

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