Application of Thick Coal Seam Mining Method Prediction Model Based on Artificial Neural Network

Wen Yu Lv; Zhi Hui Zhang

doi:10.4028/www.scientific.net/AMR.962-965.242

Paper Titles

The Study of Sedimentary Characteristics of the Fan Delta of Yingcheng Formation in Lishu Fault Depression
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The Study of the Thrust Fault
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The Top Eroded Thickness Recovery of Volcanic Rocks in Yingcheng Formation of Yingshan Fault Depression
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3-Dimensional Inversion for Gravity Anomaly Calculation in Complex Geologic Region
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Application of Thick Coal Seam Mining Method Prediction Model Based on Artificial Neural Network
p.242

Analysis on the Metallogenic Conditions and Perspective of Nb-Ta Mineral in ZhaoJinggou, Inner Mongolia
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Application of Electromagnetic Method in Geothermal Investigation in the Inner Mongolia
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Applications of D-S Evidence Theory and Comprehensive Evaluation on Mining Information
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Characteristics of Slope Breaks and their Control on the Lithostratigraphic Hydrocarbon Reservoir in Beixi Slope Area of the Hailaer Basin
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 962-965Application of Thick Coal Seam Mining Method...

Application of Thick Coal Seam Mining Method Prediction Model Based on Artificial Neural Network

Abstract:

Because of thick coal seam mining method selection is not only affected by coal seam geological conditions, but also limited by workers, and not fully utilization of experts` experience, the effect of tradition coal mining method selection methods are not ideal. The thick coal seam mining method prediction model based on artificial neural network (TCSMMPM-ANN) was established through the analysis of thick coal seam mining by using Levenberg – Marquardt (L-M) improved algorithm to train network, the simulation results of network test show that this model can provide a new research idea for thick coal seam mining method optimal selection and face economic and technical index prediction, it will have a broad prospect in thick coal mining.

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Periodical:

Advanced Materials Research (Volumes 962-965)

Pages:

242-246

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.962-965.242

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Online since:

June 2014

Authors:

Wen Yu Lv*, Zhi Hui Zhang

Keywords:

Artificial Neural Network (ANN), Improved Algorithm, Mining Method, Prediction Model, Thick Coal Seam

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* - Corresponding Author

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