| 改进PSO算法在水位流量关系拟合中的应用 |
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| 引用本文： | 潘中建.改进PSO算法在水位流量关系拟合中的应用[J].水文,2015,35(2):59-60. |
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| 作者姓名： | 潘中建 |
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| 作者单位： | 江苏商贸职业学院 |
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| 摘 要： | 粒子群算法(PSO)是一种基于群智能的全局优化方法。将改进PSO算法应用于水位流量关系拟合优化问题,通过对结果的比较分析,验证了改进PSO算法在提高精度方面的有效性,说明了改进PSO算法在水位流量关系拟合中应用的可行性。
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| 关 键 词： | 粒子群算法 惯性权重 水位流量关系 |
| 收稿时间： | 2013/12/20 0:00:00 |
Application of Improved PSO Algorithm in Water Level-discharge Relation Curve Fitting |
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| PAN Zhongjian.Application of Improved PSO Algorithm in Water Level-discharge Relation Curve Fitting[J].Hydrology,2015,35(2):59-60. |
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| Authors: | PAN Zhongjian |
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| Institution: | PAN Zhongjian;Jiangsu Vocational College of Business; |
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| Abstract: | Particle swarm optimization (PSO) is a global optimization method based on swarm intelligence. The improved algorithm was applied in the optimization of water Level-discharge relation curve fitting. The comparative analysis was made to verify the effectiveness of the improved PSO algorithm. |
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| Keywords: | particle swarm algorithm inertia weight water level-discharge relation |
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