Genetic Programming for Letters Identification Based on Neural Network
Yan Hui Liu, Zhi Peng Wang · Applied Mechanics and Materials · 2015
According to the problem that the letters identification is not high accuracy using neural networks, in this paper, an optimal neural network structure is designed based on genetic algorithm to optimize the number of hidden layer. The English letters can be identified by optimal neural network. The results obtained in the genetic programming optimizations are very satisfactory. Experiments show that the identification system has higher accuracy and achieved good ideal letters identification effect.