[1]曾 辉,廖露梅,曾予剑.遗传算法—支持向量机在面板堆石坝堆石料的参数反演分析的应用[J].江苏水利,2017,(08):34-37.
ZENG Hui,LIAO Lumei,ZENG Yujian.Application of genetic algorithm and support vector machine on parameter inversion analysis of rockfill in face rockfill dam[J].JIANGSU WATER RESOURCES,2017,(08):34-37.
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遗传算法—支持向量机在面板堆石坝堆石料的参数反演分析的应用()
《江苏水利》[ISSN:1006-6977/CN:61-1281/TN]
- 卷:
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- 期数:
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2017年08期
- 页码:
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34-37
- 栏目:
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规划与设计
- 出版日期:
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2017-08-23
文章信息/Info
- Title:
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Application of genetic algorithm and support vector machine on parameter inversion analysis of rockfill in face rockfill dam
- 文章编号:
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1007-7839(2017)08-0034-04
- 作者:
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曾 辉; 廖露梅; 曾予剑
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江西省水利投资集团有限公司,江西 南昌 330096
- Author(s):
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ZENG Hui; LIAO Lumei; ZENG Yujian
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Jiangxi Water Conservancy Investment Group Co.,Ltd,Nanchang 330096,Jiangxi
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- 关键词:
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堆石料; 参数反演; 遗传算法; 支持向量机; 面板堆石坝
- Keywords:
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rockfill; parameter inversion; genetic algorithm; support vector m achine; face rockfill dam
- 分类号:
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TV641
- 文献标志码:
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B
- 摘要:
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通过对目前智能算法在堆石料参数反演分析应用的综合分析,提出利用遗传算法—支持向量机来进行参数反演的方法,通过遗传算法对支持向量机中的参数进行优化,以便计算结果更接近实际。同时通过MATLAB 编制了相应的程序,建立了参数反演模型。以大量的实测数据作为训练样本和测试样本进行研究,研究结果表明,利用遗传算法—支持向量机来反演堆石料的参数是可行的,并具有理想的效果,从而为参数反演提供了一种新的研究方法。
- Abstract:
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Based on the comprehensive analysis on the application of curre nt intelligent algorithm in parameter inversion of rockfill, genetic algorithm and support vector machine for parameter inversion method was propesed.The parameters of support vector machine were optimized by genetic algorithm, so that the results were closer to reality.At the same time, the corresponding program was compiled by MATLAB, and the parameter inversion model is established.A large number of measured data were used as training samples and test samples, and the result showed that it was feasible and could produce an ideal effect to invert the parameters of rockfill by using genetic algorithm and support vector machines.Thus a new metho d for parameter inversion was provided.
参考文献/References:
[1] 杨泽艳,周建平.我国特高面板堆石坝的建设与技术展望[J].水力发电,2007,33(10):64-68.
[2] AlexJSmola.BernhardSchoelkopf.Atutorialonsupportvector regression[R].NeuroCOLT2TechnicalReportSeriesNC2-TR-19888030,1988.
[3] 牟声远,王正中.堆石料邓肯张模型的参数敏感性与统计分析[J].中国农村水利水电,2009,3:98-100.
[4] 张云.修正剑桥模型参数对计算结果的影响[J].岩土力学,2006,27(3):442-444.
[5] 肖化文.邓肯—张E-B 模型参数对高面板坝应力变形的影响[J].长江科学院院报,2004,21(6):41-44.
备注/Memo
- 备注/Memo:
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作者简介:曾辉(1989-),男,本科,助理工程师,主要从事项目管理工作。
更新日期/Last Update:
2017-08-15