Study on Prediction Model of Coal Mine Spontaneous Combustion Based on Crisis Symptoms
CHEN Ya
JIANG Zhong’ an
TAN Cong
Abstract：To effectively prevent coal spontaneous combustion from causing heavy losses, the occurrence symptoms of coal spontaneous combustion were selected as its prediction indicators before fire disaster, and through the statistical analysis of the accident cases,6 second-level indicators and 40 third-level indicators for coal spontaneous combustion were identified. BP neural network was selected as the prediction model,in which,the data establishment was realized by the probability theory analysis. In the Matlab-based environment, study was carried out on the factors affecting the prediction model performance, the optimal parameter values were determined,and the advantages of this method such as the generality,expansibility and high efficiency were summarized from the experiments.
Keywords：coal spontaneous combustioncrisis symptomprobability modelpredicted mode
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 56-59 )