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

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

Application of mechanical excavators is one of the most commonly used excavation methods because it can bring the project more productivity, accuracy and safety. Among the mechanical excavators, roadheaders are mechanical miners which have been extensively used in tunneling, mining and civil industr...

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Bibliographic Details
Main Authors: Arash Ebrahimabadi, Mohammad Azimipour, Ali Bahreini
Format: Article
Language:English
Published: Elsevier 2015-10-01
Series:Journal of Rock Mechanics and Geotechnical Engineering
Subjects:
Artificial neural network (ANN)
Performance prediction
Roadheader
Instantaneous cutting rate (ICR)
Tabas coal mine project
Online Access:http://www.sciencedirect.com/science/article/pii/S1674775515000839

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http://www.sciencedirect.com/science/article/pii/S1674775515000839

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