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膨胀土胀缩变形量的人工神经网络预测模型
引用本文:张向东,汪东林. 膨胀土胀缩变形量的人工神经网络预测模型[J]. 辽宁工程技术大学学报(自然科学版), 2004, 23(4): 466-468
作者姓名:张向东  汪东林
作者单位:辽宁工程技术大学,土木建筑工程学院,辽宁,阜新,123000;大连理工大学,水利与土木工程学院,辽宁,大连,116024
基金项目:辽宁省科学技术基金资助项目(001083)
摘    要::膨胀土的膨胀特性会对工程造成很大的危害,对膨胀土的膨胀量进行预测具有重要的现实意义。针对膨胀土特殊上程任质’分析了胀缩变形量的影响因素。结合人工神经网络原理,建造了膨胀土胀缩变形量的人工神经网络预测模型。采用BP神经网络和所建造的数学模型,对膨胀土的胀缩变形量进行预测。结果表明,该模型映射精度较高,有较好的实际应用价值。

关 键 词:膨胀土  胀缩变形  神经网络  预测
文章编号:1008-0562(2004)04-0466-03
修稿时间:2003-08-21

Predicting model to forecast swell-shrink distortion based on artificial nerve network
ZHANG Xiang-dong,WANG Dong-lin. Predicting model to forecast swell-shrink distortion based on artificial nerve network[J]. Journal of Liaoning Technical University (Natural Science Edition), 2004, 23(4): 466-468
Authors:ZHANG Xiang-dong  WANG Dong-lin
Affiliation:ZHANG Xiang-dong1,WANG Dong-lin2
Abstract:The swell-shrink characteristic of expansion soils has very big bane to some engineering, so forecasting its swell-shrink deformation has the important realistic meaning. Based on special engineering properties of expansion soils, influence factors of swell-shrink distortion are analyzed. In this paper, an artificial nerve network forecast model is built,using BP nerve network and mathematic model to forecast swell-shrink distortion of expansion soils. The result shows that the model has high precise mapping and good practicability.
Keywords:expansion soils  swell-shrink deformation  nerve network  forecast
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