| 大坝观测数据的模糊神经网络分析 |
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| 引用本文： | 徐洪钟,单泰松,吴中如. 大坝观测数据的模糊神经网络分析[J]. 水电自动化与大坝监测, 2001, 25(3): 17-18 |
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| 作者姓名： | 徐洪钟 单泰松 吴中如 |
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| 作者单位： | 1. 河海大学水利水电学院,
2. 南京大学, |
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| 摘 要： | 针对某一混凝土重力坝水平位移实测值建立模糊神经网络预报模型，用改进的这传算法对参数进行调整和优化，并用自组织竞争神经网络来优化换糊神经网络结构。计算结果表明，其预报精度优于常规的统计回归模型。
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| 关 键 词： | 大坝 模糊神经网络 遗传算法 自组织竞争神经网络 预报 |
| 修稿时间： | 2000-10-18 |
Fuzzy Neural Network Analysis of Observation Data of Dams |
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| Xu Hongzhong. Shan Taisong,Wu Zhongru. Fuzzy Neural Network Analysis of Observation Data of Dams[J]. HYDROPOWER AUTOMATION AND DAM MONITORING, 2001, 25(3): 17-18 |
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| Authors: | Xu Hongzhong. Shan Taisong Wu Zhongru |
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| Affiliation: | Xu Hongzhong1. Shan Taisong2,Wu Zhongru1 |
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| Abstract: | Based on the observation data of a the horizontal displacement of a gravity dam. a fuzzy neural network model is presented in this paper. The improved genetic algorithm is used to modify and optimize the parameter, and the self-organization competition neural network is applied to optimize the structure of the fuzzy neural network. The result shows that the prediction is more precise than that of the regression model. |
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