Study of a laboratory-scale froth flotation process using artificial neural networks
IR@CIMFR: CSIR-Central Institute of Mining and Fuel Research, Dhanbad
View Archive Info| Field | Value | |
| Title |
Study of a laboratory-scale froth flotation process using artificial neural networks
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| Creator |
Kalyani , V.K.
Chaudhuri, Sanjay Charan, T. Gouri Haldar, D.D. |
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| Subject |
Project Monitoring and Evaluation Cell
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| Description |
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.
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| Publisher |
Taylor & Francis
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| Date |
2008
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://cimfr.csircentral.net/342/1/Kalyani.pdf
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 |
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| Relation |
http://www.DOI: 10.1080/08827500701421912
http://cimfr.csircentral.net/342/ |
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