Paper Title:

Coal Mine Gas Prediction Model Based on Ant Colony Neural Network

Periodical Advanced Materials Research (Volumes 546 - 547)
Main Theme Electrical Insulating Materials and Electrical Engineering
Edited by Webo Zhang
Pages 3-7
DOI 10.4028/www.scientific.net/AMR.546-547.3
Citation Jia Tang Cheng et al., 2012, Advanced Materials Research, 546-547, 3
Online since July, 2012
Authors Jia Tang Cheng, Hui Zhang
Keywords Ant Colony Algorithm (ACA), Coal Mine Gas, Neural Network (NN), Prediction
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Abstract

In order to improve the prediction accuracy and prediction speed of coal mine gas emission, ant colony algorithm combining with neural network is used for prediction models design. Choose an important factor influencing gas emission, establish of its neural network prediction model. Select the network mean square error as the objective function, through the ant colony algorithm iteration achieve optimal BP network weights, and use the optimized BP network for gas emission prediction. Simulation results show that the method has high fitting prediction accuracy.