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Prediction of roadheaders' performance using artificial ...

Performance prediction is an important issue for successful roadheader application and generally deals with machine selection, production rate and bit consumption. The main aim of this research is to investigate the cutting performance (instantaneous cutting rates (ICRs)) of medium-duty roadheaders by using artificial neural network (ANN) approach.

Performance prediction of roadheaders using ensemble ...

Performance prediction of roadheaders using ensemble machine learning techniques ... paper focuses on roadheader performance prediction using six different machine learning algorithms and a combi-nation of various machine learning algorithms via ensemble techniques. Algorithms are ZeroR, random

Roadheader performance prediction using genetic ...

Roadheader Performance prediction Instantaneous cutting rate (ICR) Genetic programming (GP) Gene expression programming (GEP) This is a preview of subscription content, log in …

(PDF) Roadheader performance prediction using genetic ...

Roadheader performance prediction using genetic programming (GP) and gene expression programming (GEP) techniques Article (PDF Available) in Environmental Earth Sciences · August 2017 with 187 Reads

Performance prediction of roadheaders using ensemble ...

Performance prediction is an important factor for successful roadheader application and generally deals with machine selection, production rate and bit consumption.

Prediction of roadheader performance by artificial neural ...

Performance prediction is one of the major parameters for the success of roadheader applications and generally deals with machine selection, production rate, and bit consumption. Instantaneous cutting rate (ICR) is defined as the production rate during a continuous excavation phase in m 3 /h.

ROADHEADER PERFORMANCE PREDICTION - bamfordrocks.com.au

ROADHEADER PERFORMANCE PREDICTION Assessment Of Rock Cuttability, And Prediction Of Roadheader Performance Dr. Bill Bamford University of Melbourne The problem of the prediction of performance of roadheaders : production rate (cubic metres/hour), and pick consumption rate (picks/cubic metre produced), has been studied in an

A model to predict the performance of roadheaders based on ...

Performance prediction is an important issue for successful roadheader application and generally deals with machine selection, production rate and bit consumption. Performance prediction encompasses the assessment of instantaneous cutting rate (ICR), bit consumption rates and machine utilization for different geological units. The instantaneous

Predicting roadheader performance by using artificial ...

Predicting roadheader performance by using artificial neural network. Authors; ... This paper makes an attempt to model the rate of roadheader performance based on the geotechnical and geological site conditions. ... Kulatilake PHSW, Qiong Wu, Hudaverdi T, Kuzu C (2010) Mean particle size prediction in rock blast fragmentation using neural net ...

Predicting roadheader performance by using artificial ...

Jahanbakhsh Daneshian Department of Geology, Faculty of Science, University of Kharazmi, Tehran, Iran Shahram Shariati Department of Geology, Faculty of Science, University of Sari, Tehran, Iran Abdolreza Yazdani-Chamzini Department of Mining Engineering, …