International Dairy Journal, ( ISI ), Volume (14), Year (2004-5) , Pages (69-80)

Title : Application of neural net works for cmssflow ( Application of neural networks for cross flow milk ultrafiltration simulation )

Authors: Seyed Mohammad Ali Razavi , Sayed Ali Mortazavi , Seyed Mahmoud Mousavi ,

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The ability of neural network approach was investigated for the dynamic simulation of crossflow milk ultrafiltration. It aims to model the permeate flux and total hydraulic resistance as a function of pH, fat percent and operation time. Feed forward perceptron networks with a single hidden layer were used to simulate the time-dependent rate of ultrafiltration from a few experimental data. The effect of the number of training points, the number of hidden neurons and training data arrangements on the accuracy of simulation were studied in this work. The results showed that the quality of simulation could be improved using appropriate selection of training points and small network. The best network was able to accurately capture the non-linear dynamics of milk ultrafiltration, so that the agreement between the actual data and simulated values was excellent with maximum and average errors less than 3.61% and 1.06%, respectively.


Ultrafiltration; simulation; dynamic; milk; neural network; flux; fouling
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author = {Razavi, Seyed Mohammad Ali and Mortazavi, Sayed Ali and Mousavi, Seyed Mahmoud},
title = {Application of neural net works for cmssflow},
journal = {International Dairy Journal},
year = {2004},
volume = {14},
month = {May},
issn = {0958-6946},
pages = {69--80},
numpages = {11},
keywords = {Ultrafiltration; simulation; dynamic; milk; neural network; flux; fouling},


%0 Journal Article
%T Application of neural net works for cmssflow
%A Razavi, Seyed Mohammad Ali
%A Mortazavi, Sayed Ali
%A Mousavi, Seyed Mahmoud
%J International Dairy Journal
%@ 0958-6946
%D 2004