| 利用径向基函数神经网络处理水轮机综合特性曲线 |
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| 引用本文： | 黄贤荣,刘德有. 利用径向基函数神经网络处理水轮机综合特性曲线[J]. 水力发电学报, 2007, 26(1): 114-118 |
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| 作者姓名： | 黄贤荣 刘德有 |
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| 作者单位： | 河海大学水利水电工程学院,南京,210098 |
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| 摘 要： | 介绍了利用径向基函数神经网络进行水轮机综合特性曲线数据处理的方法。这种方法无须建立具体的函数关系表达式,即可对已知离散数据进行拟合,并结合边界约束条件对未知区域内的数据进行预测,从而提高了水轮机综合特性曲线数据处理的工作效率和数据精度。
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| 关 键 词： | 水轮机 综合特性曲线 径向基函数神经网络 曲面拟合 曲面延拓 |
| 收稿时间： | 2005-08-08 |
| 修稿时间： | 2005-08-08 |
The treatment of hydroturbine synthetic characteristic curve by radial basis networks |
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| HUANG Xianrong,LIU Deyou. The treatment of hydroturbine synthetic characteristic curve by radial basis networks[J]. Journal of Hydroelectric Engineering, 2007, 26(1): 114-118 |
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| Authors: | HUANG Xianrong LIU Deyou |
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| Affiliation: | College of Water Conservancy and Hydropower Engineering, Hohai Univ., Nanjing 210098 |
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| Abstract: | The method of data treatment concerning hydroturbine synthetic characteristic curve by radial basis networks is introduced.It is not necessary to set up the concrete functions expression,the known discrete data can be fitted by this way and the data in unknown regions can be predicted with combination of the constraint conditions at the boundary.Thereby,the efficiency of data treatment and precision of hydroturbine synthetic characteristic curve are improved. |
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| Keywords: | hydroturbine synthetic characteristic curve radial basis networks surface fitting surface extension |
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