This paper tends to classify the ore and waste (Zinc, Lead type of deposit) that is very complex in nature from point of ore body configuration and continuity for mining.
Authors
Gaurav Nagpal, Department of Management, BITS Pilani, India.
Ankita Nagpal, Department of Management, BITS Pilani, India.
Naga Vamsi Jasti, Core Engineering Department, BITS Pilani, India.
Sarveshwar Inani, Jindal Global Business School, O.P. Jindal Global University, India.
Summary
In mining industry, the ore is mined & treated for extraction of metal from ore. So, ore and waste separation is very crucial for mining and to ensure a grade of ore that could be converted into metal. Prior to mining, exploration is required to demarcate the ore body for mining and characterize the waste for better planning.
This paper tends to classify the ore and waste (Zinc, Lead type of deposit) that is very complex in nature from point of ore body configuration and continuity for mining. Since the existing literature has not used the neural networks to determine the prospects of an area for these ores, this study has made an attempt at classifying these deposits as ore or waste using neural networks.
Published in: ACM International Conference Proceeding Series, 23 November 2023, Article number 935th, International Conference on Information Management and Machine Intelligence, ICIMMI 2023, Jaipur 14 December 2023 through 16 December 2023.
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