Solution of thermal conduction coefficient from BP network

He Faxiang

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Solution of thermal conduction coefficient from BP network

更新时间：2026-06-25

- Solution of thermal conduction coefficient from BP network
- Vol. 21, Issue 1, (2000)
- 作者机构：
  
  四川大学水利系, 四川成都 610065) ( 云南工业大学电力工程学院,云南,昆明,650051
- 作者简介：
- 基金信息：
- DOI：
  CLC： TU443
- Online First：21 November 2016，
  
  Published：2000
- 稿件说明：
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He Faxiang. Solution of thermal conduction coefficient from BP network[J]. 2000, 21(1).
DOI：

He Faxiang. Solution of thermal conduction coefficient from BP network[J]. 2000, 21(1). DOI：

摘要

以人工神经网络为基本工具

利用其强大的非线性映射能力

综合考虑土体的物理性质指标对其导热性能的影响

为求解土体的工程参数提供了一条新的途径。结果表明

BP 网络能够充分体现土体物理指标之间的非线性关系和隐含关系

具有较高的求解能力

所求出的土体的导热系数与实测值接近

其精度远高于线性回归

且简单实用。

Abstract

In order to calculate the thermal conduction coefficient of earths

neural network technique is used to map the non-linearity among the physical indexes of earth and an expected result is obtained. It is shown that a BP-network is useful to map the non-linear relationship among the coefficient and other indexes and this technique is more accurate than linear regression and further applications are expected.

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