关键词: BP神经网络, 基因表达式编程, 小生境, 冠心病介入术, 预测

Abstract: The application of the convention BP neural network in the coronary intervention recrudescence prediction might lend to complex architecture for the neural networks and false diagnosis.A new combined model，which is based on niche technology，gene expression programming and BP neural network，is proposed in this paper.Under considering the shortcomings of that BP neural network easily fall into local minima，the method uses niche technology and gene expression programming to optimize the structure and original weight distribution of BP networks.The neural network is accurately trained with gradient descent algorithm.The combined model is applied to the prediction of the 2-year prediction of coronary intervention.Compared the result with convention BP neural network，it shows that the new method speeds up the convergence and improves the prediction accuracy.

Key words: BP neural network, gene expression programming, niche, coronary intervention, prediction