The Open Fuels & Energy Science Journal

2015, 8 : 224-228
Published online 2015 September 30. DOI: 10.2174/1876973X01508010224
Publisher ID: TOEFJ-8-224

Forecasting Rock Burst in Coal Mines Based on Neural Network

Taifa Zhang , Yajiang Zhang and Lihua Mu
Heilongjiang University of Science and Technology, P.O. Box 150022.

ABSTRACT

In view of disasters caused by rock burst becoming more and more serious in coal mine production, three models are established for evaluation and prediction the rock burst risk based on artificial neural network. First, ten indicators are determined which have a larger influence on rock burst. Then two back propagation network models are trained using the original data and the processed data reduced by principal component analysis respectively. And a radial basis function network model is also established using reduced data. Finally, the performance of three different neural network models are analyzed and the best scheme is determined for rock burst prediction.

Keywords:

Back propagation, neural network, principal component analysis, radial basis function, rock burst.