A Prediction Model of Mine Gas Emission Base on a New Ant Colony Algorithm

Xiao Qiang Qin

doi:10.4028/www.scientific.net/AMM.318.379

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The Experimental Study on Consolidating Effect of Acrylic Non-Aqueous Dispersion for Earthen Ruins in Southwest China’s Moist Areas
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The Evaluation Index System of China’s Energy Security
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A Prediction Model of Mine Gas Emission Base on a New Ant Colony Algorithm
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 318A Prediction Model of Mine Gas Emission Base on a...

A Prediction Model of Mine Gas Emission Base on a New Ant Colony Algorithm

Abstract:

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.

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2013 International Conference on Machinery, Materials Science and Energy Engineering

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Periodical:

Applied Mechanics and Materials (Volume 318)

Pages:

379-384

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.318.379

Citation:

Cite this paper

Online since:

May 2013

Authors:

Xiao Qiang Qin

Keywords:

Ant Colony Algorithm (ACA), Prediction of Mine Gas Emission, Principal Component Analysis (PCA), RBF Neural Network

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