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| 基于PCA-BPNN的膨胀土自由膨胀率预测 | |
| 引用本文： | 王利华,吕祖保,陈志强,罗菊. 基于PCA-BPNN的膨胀土自由膨胀率预测[J]. 人民长江, 2011, 42(10): 21-24 |
| 作者姓名： | 王利华 吕祖保 陈志强 罗菊 |
| 作者单位： | 1. 孝感市公路管理局,湖北,孝感,432100 2. 中国地质大学,工程学院,湖北,武汉,430074 3. 水利部,岩土力学与工程重点实验室,湖北,武汉,430010 |
| 摘 要： | 为了准确地对膨胀土进行分类，将主成分分析方法（PCA）和BP神经网络方法（BPNN）相结合，进行膨胀土自由膨胀率预测研究。首先，对影响自由膨胀率的几个物性指标数据进行主成分分析，得到主成分数据序列；然后，根据主成分数据序列建立输入样本并应用BP神经网络进行训练，得到PCA-BPNN预测结果，从而预测自由膨胀率。采用南阳膨胀土数据进行实例分析，结果表明，该模型比单一BP神经网络预测方法的效果更好。 |
| 关 键 词： | 主成分分析 BP神经网络 膨胀土 自由膨胀率 |
Free swelling ratio prediction of expansive soil based on PCA-BPNN |
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| WANG Lihua,LU Zubao,CHEN Zhiqiang,LUO Ju. Free swelling ratio prediction of expansive soil based on PCA-BPNN[J]. Yangtze River, 2011, 42(10): 21-24 | |
| Authors: | WANG Lihua LU Zubao CHEN Zhiqiang LUO Ju |
| Affiliation: | WANG Lihua1,LU Zubao1,CHEN Zhiqiang2,LUO Ju3(1.Highway Authority of Xiaogan,Xiaogan 432100,China,2.Faulty of Engineering,China University of Geosciences,Wuhan 430074,3.Key Laboratory of Geotechnical Mechanics and Engineering of Ministry of Water Resources,Wuhan 430010,China) |
| Abstract: | In order to classify swelling soil accurately,we conduct study on free swelling ratio prediction of expansive soil by combining Principal Component Analysis(PCA) with BP Neural Network method(BPNN).First,we obtain PCA data sequence with several physical index data that affects free swelling ratio of expansive soil;then,according to PCA data sequence,we establish input data.We apply the data to the BPNN training and get prediction results of PCA-BPNN,thus predict free swelling ratio.We analyze an example by ... |
| Keywords: | Principal Component Analysis BP Neural Network expansive soil free swelling ratio forecast |
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