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瞬态振动法测试土密实度的神经网络模型
引用本文:靳建明,王奎华,谢康和,卜发东.瞬态振动法测试土密实度的神经网络模型[J].科技通报,2007,23(1):116-121,136.
作者姓名:靳建明  王奎华  谢康和  卜发东
作者单位:1. 浙江树人大学,城建学院,杭州,310015
2. 浙江大学,岩土工程研究所,杭州,310027
3. 山东省建筑科学研究院,济南,250031
摘    要:神经网络模型是处理非线性问题较好的一种方法之一。文章通过对人工神经网络的分析,建立了瞬态振动法测定土密实度的神经网络模型,网络的学习算法采用改进的BP算法。并对建模结果的准确性和可靠性进行了验证和讨论。结果表明将神经网络应用于土密实度的定量分析问题中,效果是良好的。

关 键 词:土密实度  振动测试  神经网络  BP模型
文章编号:1001-7119(2007)01-0116-06
收稿时间:2005-08-02
修稿时间:2005-08-02

ANN Model for Determination of Soil Compactness Tested by Instant Vibration Method
JIN Jian-ming,WANG Kui-hua,XIE Kang-he,BU Fa-dong.ANN Model for Determination of Soil Compactness Tested by Instant Vibration Method[J].Bulletin of Science and Technology,2007,23(1):116-121,136.
Authors:JIN Jian-ming  WANG Kui-hua  XIE Kang-he  BU Fa-dong
Institution:1. Urban Planning College, Zhejiang ShuRen University, Hangzhou 310015, China; 2. Institute of Geo-technical Engineering, Zhejiang University, Hangzhou 310027, China; 3. Shandong Provincial Academy of Building Sciences, Jinan 250031, China
Abstract:ANN is one of the best method to deal with non-linear problem. By analysis of ANN, the model of BP neural network is built for soil compactness quantitative analysis. The correctness and reliability of the model are then validated and discussed. Result shows that it quite agree with the tested result by ring-knife method.
Keywords:soil compactness  vibration test  neural network  BP model
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