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

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.