scholarly journals Application of Entropy Method for Estimating Factor Weights in Mining-Method Selection for Development of Novel Mining-Method Selection System

2022 ◽  
Vol 20 (4) ◽  
pp. 296
Author(s):  
Elsa Pansilvania Andre Manjate ◽  
Mahdi Saadat ◽  
Hisatoshi Toriya ◽  
Fumiaki Inagaki ◽  
Youhei Kawamura
2014 ◽  
Vol 962-965 ◽  
pp. 242-246
Author(s):  
Wen Yu Lv ◽  
Zhi Hui Zhang

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.


2022 ◽  
Vol 32 (3) ◽  
pp. 1843-1854
Author(s):  
D. Palanikkumar ◽  
Kamal Upreti ◽  
S. Venkatraman ◽  
J. Roselin Suganthi ◽  
Sridharan Kannan ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document