| 大坝变形分析遗传神经网络模型的改进 |
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| 引用本文： | 李珂,岳建平,马保卫,周凯,秦茂芬.大坝变形分析遗传神经网络模型的改进[J].测绘工程,2008,17(2):22-25. |
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| 作者姓名： | 李珂 岳建平 马保卫 周凯 秦茂芬 |
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| 作者单位： | 河海大学土木工程学院,江苏,南京,210098;福建省陆海建设监理所,福建,福州,350009 |
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| 摘 要： | 针对基本遗传算法（SGA）收敛速度慢、局部寻优能力差等缺陷，采用十进制编码，引入改进的算术交叉、非均匀变异操作等算法，分析和建立了改进的遗传神经网络（IGA-BP）模型，并将该模型应用于大坝水平位移的预测。结果表明，该模型在收敛速度、预报精度等方面比传统模型有较大的改善。
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| 关 键 词： | 遗传算法 IGA-BP 变异算子 数学模型 变形分析 |
| 文章编号： | 1006-7949(2008)02-0022-04 |
| 修稿时间： | 2007年7月8日 |
Improved genetic neural network model and its application to deformation monitoring |
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| LI Ke,YUE Jian-ping,MA Bao-wei,ZHOU Kai,QIN Mao-fen.Improved genetic neural network model and its application to deformation monitoring[J].Engineering of Surveying and Mapping,2008,17(2):22-25. |
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| Authors: | LI Ke YUE Jian-ping MA Bao-wei ZHOU Kai QIN Mao-fen |
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| Institution: | LI Ke, YUE Jian-ping, MA Bao-wei, ZHOU Kai, QIN Mao-fen (1. College of civil Engineering, Hohai University, Nanjing 210098, China; 2. Terrestrial Marine Construction Supervision Institute, Fuzhou 350009, China) |
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| Abstract: | In view of the disadvantages of Simple Genetic Algorithm: low convergence speed,inferior ability in local optimization and so on,a decimal encoding scheme,improved arithmetic crossover and non-uniform mutation operation are adopted to improve IGA,then an IGA-BP model is analyzed and built.The IGA-BP model is applied to predict the Horizontal Displacement of a dam which indicates that the IGA-BP model is much better than the traditional models in convergence speed and prediction precision. |
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| Keywords: | Genetic Algorithm IGA-BP mutation operator Mathematical Model deformation analysis |
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