Research on software reliability prediction based on neural network ensemble
Cui Zheng-bin · Jisuanji gongcheng yu sheji · 2010
To solve the problem of software reliability prediction effectively,a model of neural network ensemble based on genetic algorithm(GA-NNE) is proposed,by the genetic algorithm neural network ensemble weights are optimized,and the method of principal component analysis is conducted on the experimental data pre-processing to reduce the dimension of the experimental data to simplify the structure of neural network,speed up the neural network computational speed.The simulation results show that the software reliability prediction model based on GA-NNE is effective in the prediction of software reliability,and has better precision than BP network,LVQ network and PNN network.