Coal Mine Gas Prediction Model Based on Ant Colony Neural Network

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.

• Periodical: Advanced Materials Research (Volumes 546-547)
• Pages: 3-7
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.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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DOI: 10.1109/mace.2010.5536742

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