A Neural Network based Intelligent Method for Mine Slope Surface Deformation Prediction Considering the Meteorological Factors

• DOI: 10.11591/telkomnika.v12i4.4815
• Publication Date: 2014-06-01T17:06:46Z
• Authors: Sunwen Du; Jin Zhang; Zengbing Deng; Jingtao Li
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

Accurate mine slope surface deformation forecasting can provide reliable guidance for safe mining production and construction planning, which is also important the personnel safety of staffs. The a non-linear problem. Generalized regression neural network (GRNN) has been proven to be effective in dealing with problems, but it still challenge how determine appropriate spread parameter using GRNN forecasting. In this paper, model combining artificial bee colony optimization algorithm (ABC) generalized was proposed solve effectiveness proved by experiment comparisons. test results show that intelligent outperforms BP model, genetic (GA-BPNN) ordinary linear (LR) models DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4815