A Research on Methane Prediction Model Based on Improved BP-GA Network

Zhao Ming Hao; Jing Yi Du; Zhi Chen Zheng

doi:10.4028/www.scientific.net/AMM.239-240.1382

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 239-240A Research on Methane Prediction Model Based on...

A Research on Methane Prediction Model Based on Improved BP-GA Network

Abstract:

The amount of methane emission is crucial to the safety of coal mine. The paper proposes the Levenberg Marquardt (LM) algorithm (in the nonlinear least squares algorithms) that can reduce the training time of BP network. Genetic Algorithm (GA) is used to optimize weights in global search to prevent the inherent defects that neural network is liable to get stuck in local minimal points. Furthermore, neural network can prevent the defect of weak GA local search. Finally, BP-GA modal was trained and the sample data were precisely analyzed, which proves that this model features broad adaptability and precision.

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Periodical:

Applied Mechanics and Materials (Volumes 239-240)

Pages:

1382-1386

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.239-240.1382

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Online since:

December 2012

Authors:

Zhao Ming Hao, Jing Yi Du, Zhi Chen Zheng

Keywords:

Genetic Algorithm (GA), Methane Prediction, Neural Network (NN)

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