水利水电工程人工神经网络综合优选模型

A Comprehensive Optimization Model Based on Artificial Neural Network for Hydraulic Engineering

在分析水利水电工程常用综合优选模型应用中存在问题的基础上，将综合优选问题的特点和人工神经网络原理有机结合，建立了方案综合优选的人工神经网络拓扑结构；设计了相应的网络学习算法；提出了生成训练样本和方案优选方法． 实例分析结果证明模型和方法是实用、有效的．

On the basis of analysis of existing problems in application of common comprehensive optimization models， the characteristics of optimization are combined with the principle of Artificial Neural Network （ANN） organically． The ANN analysis situs structure is established and the learning algorism for the ANN is designed． The methods of generating training samples and alternative optimization are put forward． The result of practice application shows that the model and method are effective．