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.
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|
|Deposited By:||Sahu A K|
|Deposited On:||19 Dec 2012 13:27|
|Last Modified:||19 Dec 2012 13:27|
Repository Staff Only: item control page