节点文献
前馈神经网络结构的模糊优选在径流预测中的应用
Fuzzy Optimal Decision for Structure of Feedforward Neural Networks and Its Application in Runoff Forecast
【摘要】 在水库径流预测中应用模糊聚类分析方法优选网络结构 ,优化后的网络具有较高的效率 ,并取得了较好的拟合、预测精度
【Abstract】 Feedforward neural network has been used widely in water conservancy and hydropower engineering. The difficulty in application is how to choose the structure of networks. In this paper, fuzzy cluster method is used to determine the number of hidden nodes. The optimal network is successfully applied in runoff forecast, it is more efficient and precise.
【关键词】 径流预测;
隐层节点;
特征抽取;
模糊聚类;
前馈神经网络;
【Key words】 runoff forecast; hidden nodes; extraction of feature; fuzzy cluster; feedforward neural networks;
【Key words】 runoff forecast; hidden nodes; extraction of feature; fuzzy cluster; feedforward neural networks;
- 【文献出处】 水电能源科学 ,Hydroelectric Energy , 编辑部邮箱 ,2002年03期
- 【分类号】TV121
- 【被引频次】12
- 【下载频次】83