| 遗传算法优化BP神经网络在大坝扬压力预测中的应用 |
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| 引用本文： | 仲云飞,梅一韬,吴邦彬,陈〓端.遗传算法优化BP神经网络在大坝扬压力预测中的应用[J].水电能源科学,2012,30(6):98-101. |
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| 作者姓名： | 仲云飞 梅一韬 吴邦彬 陈〓端 |
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| 作者单位： | 河海大学 水文水资源与水利工程科学国家重点实验室,江苏南京210098;河海大学 水资源高效利用与工程安全国家工程研究中心,江苏南京210098;河海大学 水利水电学院,江苏南京210098 |
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| 基金项目： | 水利部公益性行业科研专项基金资助项目（201101013）；国家自然科学基金资助项目(51079086，50879024，50809025)；国家科技支撑计划课题基金资助项目（2008BAB29B03，2008BAB29B06） |
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| 摘 要： | 针对BP神经网络的局部极小和收敛慢等问题,提出了利用遗传算法的选择、交叉和变异操作优化BP神经网络的权值和阈值,将优化后的BP神经网络用于预测大坝扬压力。通过实例应用,将遗传算法优化的BP神经网络与逐步回归、BP神经网络预测相对比,结果表明遗传算法优化的BP神经网络收敛快且预测结果精度高。
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| 关 键 词： | 遗传算法 BP神经网络 逐步回归 扬压力 预测 |
Application of BP Neural Network Based on GA Optimization in Uplift Pressure Forecasting of Dam |
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| ZHONG Yunfei,MEI Yitao,WU Bangbin and CHEN Duan.Application of BP Neural Network Based on GA Optimization in Uplift Pressure Forecasting of Dam[J].International Journal Hydroelectric Energy,2012,30(6):98-101. |
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| Authors: | ZHONG Yunfei MEI Yitao WU Bangbin and CHEN Duan |
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| Affiliation: | 1,2,3(1.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering,Hohai University,Nanjing 210098,China;2.National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety,Hohai University,Nanjing 210098,China;3.College of Water Conservancy and Hydropower,Hohai University,Nanjing 210098,China) |
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| Abstract: | Aiming at the problems of local minimum and slow convergence in BP neural networks, the selection, crossover and mutation operators in genetic algorithm is proposed to optimize the weights and thresholds of BP neural network. And then the BP neural network optimized by genetic algorithm is applied to forecast the dam uplift pressure. Comparison of stepwise regression and BP neural network, example results show that the proposed BP neural network has characteristics of quick speed convergence and high prediction accuracy. |
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| Keywords: | genetic algorithm BP neural network stepwise regression uplift pressure forecasting |
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