A prediction model of mine gas emission base on a new ant colony algorithm

被引：3
|
作者：
Qin, Xiaoqiang [1 ]
机构：
[1] Natl Key Lab Gas Disaster Detecting Preventing &, Chongqing 400037, Peoples R China
来源：
2013 INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS SCIENCE AND ENERGY ENGINEERING | 2013年 / 318卷
关键词：
Ant Colony Algorithm; Principal Components Analysis; RBF neural network; prediction of mine gas emission;
D O I：
10.4028/www.scientific.net/AMM.318.379
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper a prediction model of mine gas emission base on continuous ant colony algorithm was presented aimed at the difficulty in prediction of mine gas emission. By comparing the measured data with the data calculated by the prediction model, indicated the model was accurate and credible.
引用
收藏
页码：379 / 384
页数：6
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