Selvaraj, Ramasamy ; Deshpande, Pradeep B. ; Tambe, Sanjeev S. ; Kulkarni, Bhaskar D. (1995) Neural networks for the identification of MSF desalination plants Desalination, 101 (2). pp. 185-193. ISSN 0011-9164
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Official URL: http://linkinghub.elsevier.com/retrieve/pii/001191...
Related URL: http://dx.doi.org/10.1016/0011-9164(95)00021-S
Abstract
Fully connected multi-layer feedforward artificial neural networks trained using the error-back-propagation algorithm have been employed to identify the nonlinear multi-variable, multi-stage flash (MSF) desalination plant. Both multiple input-single output (MISO) and multiple input-multiple output (MIMO) networks have been used for the purpose of identification. The correlation coefficient values greater than 0.99 were obtained suggesting that the neural network can serve as a good alternative to a model MSF desalination plant.
Item Type: | Article |
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Source: | Copyright of this article belongs to Elsevier Science. |
Keywords: | Artificial Neural Network; Process Identification; MSF Desalination |
ID Code: | 17307 |
Deposited On: | 16 Nov 2010 08:00 |
Last Modified: | 06 Jun 2011 09:37 |
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