Prediction of roadheaders' performance using artificial neural network approaches (MLP and KOSFM)

Author:

Ebrahimabadi Arash,Azimipour MohammadORCID,Bahreini Ali

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology

Reference57 articles.

1. Optimizing stabilization of waste-activated sludge using Fered–Fenton process and artificial neural network modeling (KSOFM, MLP);Badalians Gholikandi;Environmental Science and Pollution Research,2014

2. Modelling TBM performance with artificial neural networks;Benardos;Tunnelling and Underground Space Technology,2004

3. Some geological and geotechnical factors affecting the performance of a roadheader in an inclined tunnel;Bilgin;Tunnelling and Underground Space Technology,2004

4. Cutting performance of Jack hammers and roadheaders in Istanbul Metro drivages;Bilgin,1997

5. Roadheader performance in Istanbul, Golden Horn clean-up contributes valuable data;Bilgin;Tunnels and Tunnelling,1988

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