Dynamic prediction of milk ultrafiltration performance: A neural network approach

Neural network models were tested in connection with the dynamic prediction of permeate flux ( J P ), total hydraulic resistance ( R T ) and the solutes rejection for the crossflow ultrafiltration of milk at different transmembrane pressure (TMP) and temperature ( T). This process has complex non-li...

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Veröffentlicht in:	Chemical engineering science 2003-09, Vol.58 (18), p.4185-4195
Hauptverfasser:	Razavi, S.M.A, Mousavi, S.M, Mortazavi, S.A
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological and medical sciences Flux Food industries Food processing Fundamental and applied biological sciences. Psychology Membrane Milk and cheese industries. Ice creams Neural network Rejection Total hydraulic resistance
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