| 龙羊峡电站下闸蓄水水情长期预报的神经网络方法研究 |
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| 引用本文： | 张继群,魏文秋. 龙羊峡电站下闸蓄水水情长期预报的神经网络方法研究[J]. 应用基础与工程科学学报, 1995, 0(2) |
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| 作者姓名： | 张继群 魏文秋 |
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| 作者单位： | 武汉水利电力大学研究生部，武汉水利电力大学研究生部 武汉 430072，武汉 430072 |
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| 摘 要： | 误差反向传播算法(BP算法)是训练多层网络的常用算法,但难于确定网络的有效隐节点数,本文提出了一个有效的算法来自动优选隐层节点数,文中用龙羊峡水电站历年10月份的系列实测资料进行了实例研究,取得了初步令人满意的结果。
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| 关 键 词： | 神经网络 BP算法 隐节点数 径流预报 |
Long Time Runoff Forecasting with Neural Network Method for Long Yangxia Hydropower Station |
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| ZHANG Jiqun WEI Wenqiu. Long Time Runoff Forecasting with Neural Network Method for Long Yangxia Hydropower Station[J]. Journal of Basic Science and Engineering, 1995, 0(2) |
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| Authors: | ZHANG Jiqun WEI Wenqiu |
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| Affiliation: | Graduate School. Wuhan University of Hydraulic and Electric Engineering. Wuhan 430072 |
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| Abstract: | BP algorithm is probably the most successful training procedure for multi-layer neural nets, but it is difficult to determine the optimal number of hidden units. This paper give a new method to choose the number of hidden node. The result of application in Long Yangxia Hydropower Station is satisfactory. |
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| Keywords: | neural network BP algorithm hidden node runoff forecast |
| 本文献已被 CNKI 等数据库收录！ |
