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动量BP算法在路基沉降预测中的应用
引用本文:贺明侠,王连俊. 动量BP算法在路基沉降预测中的应用[J]. 岩土工程技术, 2006, 20(1): 17-20,28
作者姓名:贺明侠  王连俊
作者单位:北京交通大学土建学院交环所,北京,100044
摘    要:提出一种采用动量BP算法来预测路基沉降的方法,结合具体的工程实例,构建了预测路基沉降的具体BP神经网络模型。预测结果表明,该模型有较高的预测精度,可作为预测路基沉降的一种新方法。

关 键 词:动量BP算法  路基工程  沉降预测  人工神经网络
文章编号:1007-2993(2006)01-0017-04
修稿时间:2005-11-07

Momentum Backpropagation for the Settlement Prediction of Subgrade Construction
He Mingxia,Wang Lianjun. Momentum Backpropagation for the Settlement Prediction of Subgrade Construction[J]. Geotechnical Engineering Technique, 2006, 20(1): 17-20,28
Authors:He Mingxia  Wang Lianjun
Abstract:The method of Momentum Backpropagation is employed on the prediction of railway subgrade construction.Combined with the concreted example of actual subgrade engineering,the BP neural network model for settlement prediction of roadbed in the railway is founded.The predicting results indicate that the model proposed can gain higher precision,which provides a new way for settlement prediction of the railway roadbed.
Keywords:Momentum Backpropagation  subgrade construction  settlement prediction  Artificial Neural Networks
本文献已被 CNKI 维普 万方数据 等数据库收录!
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