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) |
|---|---|
| Uncontrolled Keywords: | Modeling Study; Artificial Neural Network; flowsheet parameters |
| Subjects: | Minerals and Mining |
| Divisions: | Mineral Processing |
| Depositing User: | Users 5 not found. |
| Date Deposited: | 19 Dec 2012 07:57 |
| Last Modified: | 03 Sep 2026 07:56 |
| URI: | http://eprints.nmlindia.org/id/eprint/6295 |

