The Application of Fuzzy Neural Network on Comprehensive Evaluation

This paper applied Fuzzy neural network to comprehensive evaluation, and used the learning process of Fuzzy neural network to determine the weight set and degree of membership function on comprehensive evaluation. In the traditional methods of comprehensive evaluation, the weight set and degree of membership may be affected by man-made factors, but this method overcomes to some extent this problem, and improves the final precisions. To make neural network converge faster and more stable, this paper optimizes the network algorithm and verifies the feasibility of these optimization algorithm in practice.