The Research of Alphabet Identification Based on Genetic BP Neural Network

In order to improve the accuracy of the BP neural network prediction model to predict the transmission synchronizer shift fault, a BP neural network prediction method based on genetic algorithm optimization is proposed. The characteristics and defects ...

A back-propagation (BP) neural network has good self-learning, self-adapting and generalization ability, but it may easily get stuck in a local minimum, and has a poor rate of convergence. Therefore, a method to optimize a BP algorithm based on a ...

The BP neural network is a feed-forward network trained by backward propagation of errors algorithm, which is the most widely used neural network model, but BP neural network can't avoid the shortcoming that is strong randomness and easily converging to ...