Simulation of Stress-Strain Behavior of a Fine Sand Using Artificial Neural Network

碩士 === 長榮大學 === 土地管理與開發學系碩士班 === 93 === An attempt has been made to implement back propagation and recurrent artificial neural networks for modeling undrained stress-strain relationship of Nevada sand, which were performed by automatic triaxial test apparatus. The difference and applicability of eac...

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Bibliographic Details
Main Authors:	SHIH PO I, 施柏毅
Other Authors:	Shun-Chieh Hsieh
Format:	Others
Language:	zh-TW
Published:	2005
Online Access:	http://ndltd.ncl.edu.tw/handle/89213461340985991275

id	ndltd-TW-093CJU00019013
record_format	oai_dc
spelling	ndltd-TW-093CJU000190132015-10-13T11:39:45Z http://ndltd.ncl.edu.tw/handle/89213461340985991275 Simulation of Stress-Strain Behavior of a Fine Sand Using Artificial Neural Network 類神經網路模擬砂土抗剪試驗之研究 SHIH PO I 施柏毅碩士長榮大學土地管理與開發學系碩士班 93 An attempt has been made to implement back propagation and recurrent artificial neural networks for modeling undrained stress-strain relationship of Nevada sand, which were performed by automatic triaxial test apparatus. The difference and applicability of each model are investigated. The study shows that recurrent artificial neural networks with Levenberg-Marquardt method is more effective than back propagation artificial neural networks, to simulate the sand stress-strain relationship. Shun-Chieh Hsieh 謝舜傑 2005 學位論文 ; thesis 130 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 長榮大學 === 土地管理與開發學系碩士班 === 93 === An attempt has been made to implement back propagation and recurrent artificial neural networks for modeling undrained stress-strain relationship of Nevada sand, which were performed by automatic triaxial test apparatus. The difference and applicability of each model are investigated. The study shows that recurrent artificial neural networks with Levenberg-Marquardt method is more effective than back propagation artificial neural networks, to simulate the sand stress-strain relationship.
author2	Shun-Chieh Hsieh
author_facet	Shun-Chieh Hsieh SHIH PO I 施柏毅
author	SHIH PO I 施柏毅
spellingShingle	SHIH PO I 施柏毅 Simulation of Stress-Strain Behavior of a Fine Sand Using Artificial Neural Network
author_sort	SHIH PO I
title	Simulation of Stress-Strain Behavior of a Fine Sand Using Artificial Neural Network
title_short	Simulation of Stress-Strain Behavior of a Fine Sand Using Artificial Neural Network
title_full	Simulation of Stress-Strain Behavior of a Fine Sand Using Artificial Neural Network
title_fullStr	Simulation of Stress-Strain Behavior of a Fine Sand Using Artificial Neural Network
title_full_unstemmed	Simulation of Stress-Strain Behavior of a Fine Sand Using Artificial Neural Network
title_sort	simulation of stress-strain behavior of a fine sand using artificial neural network
publishDate	2005
url	http://ndltd.ncl.edu.tw/handle/89213461340985991275
work_keys_str_mv	AT shihpoi simulationofstressstrainbehaviorofafinesandusingartificialneuralnetwork AT shībǎiyì simulationofstressstrainbehaviorofafinesandusingartificialneuralnetwork AT shihpoi lèishénjīngwǎnglùmónǐshātǔkàngjiǎnshìyànzhīyánjiū AT shībǎiyì lèishénjīngwǎnglùmónǐshātǔkàngjiǎnshìyànzhīyánjiū
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Simulation of Stress-Strain Behavior of a Fine Sand Using Artificial Neural Network

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