Prediction of the Coal and Gas Outburst By Neural Network

被引：0
|
作者：
You, Wei [1 ]
Wang, Kun [1 ]
Li, Huixiao [1 ]
Jia, Yang [1 ]
Wu, Xiaoqin [1 ]
Du, Yaning [1 ]
机构：
[1] N China Inst Sci & Technol, Dept Mech & Elect Engn, Yanjiao 101601, East Beijing, Peoples R China
来源：
SECOND INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN, VOL 2, PROCEEDINGS | 2009年
关键词：
MULTILAYER FEEDFORWARD NETWORKS;
D O I：
10.1109/ISCID.2009.247
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Back-propagation neural network model was developed to predict the coal and gas outburst. After trained, the artificial neural network model was used to predict the coal and gas outburst of several samples. Moreover, ANN model was also used to analyse the quantitative effects of influencing factors on the coal and gas outburst. The prediction performance of ANN model is satisfactory. The prediction results showed that the grade of coal and gas outburst increase with the increase of gas pressure (P) in coal, decrease with the increase of solidity coefficient (f) of coal, increase with the decrease of strength of coal, change little with the gas release coefficient Delta p, integrated indices D and K.
引用
收藏
页码：405 / 408
页数：4
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