Comprehensive evaluation method of traditional Chinese medicine fingerprint similarity based on fuzzy RBF neural network

A new method of comprehensive evaluation of the similarity degree of traditional Chinese medicine fingerprint signal, developed by the authors of this paper based on a combination of the fuzzy neural network and the genetic algorithm. Fuzzy membership functions are obtained by using radial basis function neural network, and then genetic algorithm is applied to train fuzzy RBF neural network. The trained fuzzy neural network is used to evaluate the similarity of fingerprint signals. The real data sets are applied to the introduced method and the experimental results are discussed, showing the validity of the proposed approach.