The application of neural network model based on genetic algorithm for comprehensive evaluation

Abstract

A neural network model is proposed for comprehensive evaluation, which the genetic algorithm can improve the weights of the neural network and enhance the training precision of the neural network. Then, the method is used in comprehensive evaluation. The experimental results show that the method is valid and feasible. © 2011 Springer-Verlag.