The prediction of size-limited structures in a coal mine using Artificial Neural Networks

Author:

Wu Qiang,Ye Siyuan,Yu Jia

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology

Reference12 articles.

1. Analysis of geographic information system on prediction of SLS in the front of coal extraction;Wu;J China Coal Soc,1999

2. Investigations of groundwater bursting into coal mine seam floors from fault zones;Wu;Int J Rock Mech Min Sci,2004

3. Applications of geophysical prospecting in coal mine;Chu,2004

4. General patterns of small geological structures in Datong Mining Area by radio tunnel perspective;Dong;Shanxi Coal,2000

5. Some problems in the SLS prediction of coal seam using fault strike;Yang;J Hebei Coal,1997

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1. An interpolation method for the floor elevation of coal seams based on a local anisotropy radial basis function;Environmental Earth Sciences;2021-10

2. Prediction of concealed faults in front of a coalface using feature learning;Bulletin of Engineering Geology and the Environment;2020-05-03

3. Acquisition and Quantification of Main Controlling Factors of Water Inrush from Coal Seam Floor in Coalfields of North China;Research on Risk Evaluation Methods of Groundwater Bursting from Aquifers Underlying Coal Seams and Applications to Coalfields of North China;2018

4. Structural Pattern and Characteristics of Floor Rock’s Water-Soluble and Flushing Water System;Research on Risk Evaluation Methods of Groundwater Bursting from Aquifers Underlying Coal Seams and Applications to Coalfields of North China;2018

5. Fracture mechanics and mechanical fault detection by artificial intelligence methods: A review;Engineering Failure Analysis;2017-11

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