Gas Content Prediction Based on GA-RBF Neural Network

被引：1

作者：

Zhai, Bo ^{[1
]}

Shan, Jianfeng ^{[2
]}

机构：

[1] Liaoning Shihua Univ, Sch Comp & Commun Engn, Fushun 113001, Peoples R China

[2] Nanjing Univ Posts & Telecommun, Coll Elect Sci & Engn, Nanjing 210003, Peoples R China

来源：

2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5 | 2010年

关键词：

RBF; genetic algorithm; gas prediction;

D O I：

10.1109/CCDC.2010.5498643

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Genetic algorithms (GA) and radial basis function (RBF) neural network are combined in this paper. Prediction model of gas content in coal seam is set up based on GA-RBF neural network optimized by genetic algorithm in network structure and parameters. The actual forecasting results show that the algorithm has higher prediction accuracy and faster computing speed and is helpful to mine gas disaster prediction and prevention.

引用

页码：3104 / +

页数：2

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