Study of Gas Concentration Prediction Based on Genetic Algorithm and Optimizing BP Neural Network

In order to improve the accuracy and stability of the gas concentration prediction,a prediction method of combining genetic algorithm(GA) and BP neural network was proposed.By using the advantage of BP neural network which can approach the nonlinear function with any accuracy,combining with the overall search ability of the genetic algorithm and optimizing the neural network weights and thresholds,a GA-BP hybrid algorithm model for gas concentration prediction was established.The experimental results show that GA-BP algorithm has higher prediction accuracy and stronger stability as compared with the BP neural network.