Kalyani , V.K. and Chaudhuri, Sanjay and Charan, T. Gouri and Haldar, D.D. (2008) Study of a laboratory-scale froth flotation process using artificial neural networks. Mineral Processing and Extractive Metallurgy , 29 (2). pp. 130-142. ISSN 0882-7508

PDF Restricted to Registered users only Download (248Kb) | Request a copy

Abstract

A three-layer feed-forward artificial neural network (ANN) model, trained using the error back propagation algorithm, has been established to simulate the froth flotation process for the beneficiation of coal fines. The network model validates the experimentally observed qualitative and quantitative trends. The optimal model parameters in terms of network weights have been estimated and can be used to compute the parameters of the coal flotation process over wide-ranging experimental conditions.

Item Type:	Article
Uncontrolled Keywords:	back propagation algorithm, froth flotation, laboratory scale, neural network
Subjects:	Project Monitoring and Evaluation Cell
Divisions:	UNSPECIFIED
Depositing User:	Dr. Satyendra Kumar Singh
Date Deposited:	13 Dec 2011 04:32
Last Modified:	13 Dec 2011 04:32
URI:	http://cimfr.csircentral.net/id/eprint/342

Actions (login required)

View Item