Volume : VIII, Issue : VII, July - 2019

Analysis and Calculation of Salt Mine Caverns Using Machine Learning

Jasmin Katanic, Nejdet Dogru

Abstract :

Mining is a commodity that all countries find essential for maintaining and improving their standards of living. Mining is globally ranked as a third most profitable industry and it plays a vital role in economic development of many countries. As mining is such an important aspect of economy and is a foundation of many countries it has constantly been developed and evolved, because of these developments now there is abundance of data that can be processed. This study evaluates performance of machine learning algorithms C4.5, SVM, naive Bayes, k-NN and ensemble learning methods bagging, adaboost and voting. It has to be pointed out that research was done using only datasets composed out of data provided from a salt mine Tuzla and from boreholes located on its exploitation field. This study’s aim is to predict diameters within salt caverns and to compare predicted results to actual data. In the study it was possible to achieve approximate 84% accuracy with Boosting method.

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Article: Download PDF    DOI : https://www.doi.org/10.36106/gjra  

Cite This Article:

ANALYSIS AND CALCULATION OF SALT MINE CAVERNS USING MACHINE LEARNING, Jasmin Katanic, Nejdet Dogru GLOBAL JOURNAL FOR RESEARCH ANALYSIS : Volume-8 | Issue-7 | July-2019

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