2021, 40(1) 131-139 DOI:     ISSN: 1004-5589 CN: 22-1111/P

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Keywords
 thermal conductivity
neural network
predictive mode
Authors
LEI Ting
JIA Jun-yuan
TIAN Fu-jin
MA Qing-shan
KANG Jian-guo
YU Zi-wang
PubMed
Article by Lei T
Article by Jia J
Article by Tian F
Article by Ma Q
Article by Kang J
Article by Yu Z

 Prediction of rock thermal conductivity based on BP neural network

 

 1. Nanjing Center,China Geological Survey,Nanjing 210016,China;

2. College of Construction Engineering,Jilin University,Changchun 130026,China

Abstract

 The thermal conductivity of exposed rocks in Nanchang area was measured by thermal conductivity scanning,and the relationship between thermal conductivity and porosity,moisture content,density,temperature

and pressure were analyzed. Furthermore,the prediction model of rock thermal conductivity based on BP neural network is proposed. The results show that the BP neural network model has high prediction accuracy,and the correlation
coefficient can reach 0. 993 82,which meets the engineering accuracy requirements.

Keywords  thermal conductivity   neural network   predictive mode  
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