DETECTION OF HYDROGEN CONTENT IN COAL BY USING NEUTRON METHOD

Sang Haifeng; Wang Fuli; Liu Linmao

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DETECTION OF HYDROGEN CONTENT IN COAL BY USING NEUTRON METHOD

Sang Haifeng 1,Wang Fuli 1,Liu Linmao 2

1.NEU

2.Department of Physics, Northeast Normal University

*Correspondence author

#Submitted by

Subject:

Funding: 教育部博士点基金（No.20011045008）

Opened online: 8 November 2004

Accepted by: none

Citation: Sang Haifeng,Wang Fuli,Liu Linmao.DETECTION OF HYDROGEN CONTENT IN COAL BY USING NEUTRON METHOD[OL]. [ 8 November 2004] http://en.paper.edu.cn/en_releasepaper/content/1213

This paper introduces the detection method of Hydrogen content in coal by using neutron method. The detection model of Hydrogen content in coal based on BP neural network which is optimized by Genetic Algorithms was put forward, and the research of verifying the model was made by comparing the practical measured date of coal in power plant. The results show that the detection precision using this model is 0.2%.

Keywords:Genetic Algorithms；BP neural network; neutron method; characteristic γ-ray

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