| 两种水泵性能曲线拟合方法的研究 |
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| 引用本文： | 刘建交,把多铎,向华琦. 两种水泵性能曲线拟合方法的研究[J]. 水电能源科学, 2012, 30(2): 136-138,179 |
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| 作者姓名： | 刘建交 把多铎 向华琦 |
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| 作者单位： | 西北农林科技大学水利与建筑工程学院,陕西杨凌,712100 |
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| 基金项目： | 国家自然科学基金资助项目（51109180） |
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| 摘 要： | 采用基于最小二乘法的多项式拟合与改进的BP神经网络法分别对同一水泵性能参数进行拟合,并通过算例比较分析了两者拟合效果、精度。结果表明,改进的BP神经网络拟合曲线效果和精度较高,在样本数量不多情况下两者拟合曲线效果较接近。
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| 关 键 词： | 水泵 性能曲线 最小二乘法 BP神经网络 曲线拟合 |
Research on Two Fitting Methods for Pump Performance Curves |
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| LIU Jianjiao,BA Duoduo and XIANG Huaqi. Research on Two Fitting Methods for Pump Performance Curves[J]. International Journal Hydroelectric Energy, 2012, 30(2): 136-138,179 |
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| Authors: | LIU Jianjiao BA Duoduo XIANG Huaqi |
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| Affiliation: | (College of Water Resources and Architectural Engineering,Northwest Agricultural and Forestry University,Yangling 712100,China) |
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| Abstract: | Polynomial fitting based least square method and improved BP neural network are use to identify the parameters of pump performance curves. The fitting effect and precision of two methods are comparative analysis with examples. The results show that improved BP method has good fitting effect and high precision; but in the case of small sample, two methods has the same fitting effect. |
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| Keywords: | pump performance curve least square method BP neural network curve fitting |
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