Modeling Study of Beach Placer Minerals using Artificial Neural Network: A Case Study

Pallavika, and Kalyani, V K and Loveson, V J (2006) Modeling Study of Beach Placer Minerals using Artificial Neural Network: A Case Study. In: Proceedings of the International Seminar on Mineral Processing Technology and Indo-Korean Workshop on Resource Recycling (MPT-2006), March 8-10, 2006, NML, Chennai.

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Abstract

In recent years, artificial neural network (ANNs) have been found to be an attractive tool for steady-state /dynamic process modeling, and model based control in situations where the development of phenomenological or the empirical models just given either becomes impracti-cal or cumbersome. ANN technology is well suited to solve problems in the mineral industry, and is expected to have a significant impact in many technological areas. Beneficiation plants for beach sand minerals are often very complex in nature with a number of alternative flow sheets are possible for the same mineral sand deposits.

Item Type:Conference or Workshop Item (Paper)
Official URL/DOI:http://eprints.nmlindia.org/6295
Uncontrolled Keywords:Modeling Study; Artificial Neural Network; flowsheet parameters
Divisions:Mineral Processing
ID Code:6295
Deposited By:Sahu A K
Deposited On:19 Dec 2012 13:27
Last Modified:19 Dec 2012 13:27
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