| 高边坡施工期变形预测遗传神经网络模型 |
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| 引用本文： | 汤强,陈新,廖元元,邓中元,李小五.高边坡施工期变形预测遗传神经网络模型[J].西南民族学院学报(自然科学版),2013(6):942-947. |
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| 作者姓名： | 汤强 陈新 廖元元 邓中元 李小五 |
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| 作者单位： | 四川大学水利水电学院,四川成都610065 |
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| 摘 要： | 基于BP网络存在的不足,将遗传算法引入到BP网络模型中,建立了高边坡施工期相邻层开挖暂停阶段变形预测遗传神经网络模型,对边坡时效变形进行预测,并对预测的结果进行检验,结果表明模型取得较好的预测效果,可供类似工程参考使用.
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| 关 键 词： | 人工神经网络 BP网络 遗传算法 遗传神经网络 变形预测 |
Construction of high side slope deformation prediction genetic neural network model |
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| TANG Qiang,CHEN Xin,LIAO Yuan-yuan,DENG Zhong-yuan,LI Xiao-wu.Construction of high side slope deformation prediction genetic neural network model[J].Journal of Southwest Nationalities College(Natural Science Edition),2013(6):942-947. |
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| Authors: | TANG Qiang CHEN Xin LIAO Yuan-yuan DENG Zhong-yuan LI Xiao-wu |
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| Institution: | (School of Hydraulic and Hydroelectric Engineering, Sichuan University, Chengdu 610065, P.R.C.) |
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| Abstract: | Based on the deficiencies of the BP network, the genetic algorithm is introduced into the BP High Side Slope construction adjacent layers excavation suspended phase deformation prediction genetic network model, and a neural network model is established. A time limitation of slope deformation is forecast, and the predicted results are tested. The results show that the prediction model can achieve better results, and can be used as reference for the similar engineering. |
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| Keywords: | artificial neural network BP network genetic algorithm genetic neural network deformation prediction |
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