African Journal of Agricultural Research, Volume (5), No (1), Year (2010-1) , Pages (70-77)

Title : ( Neural network approach for modeling the mass transfer of potato slices during osmotic dehydration using genetic algorithm )

Authors: mohammad reza amiryousefi , Mohebbat Mohebbi ,

Access to full-text not allowed by authors

Citation: BibTeX | EndNote

Abstract

In this study, an approach for designing a neural network based on genetic algorithm has been used to model mass transfer during osmotic dehydration of potato slices. The experimental data were obtained through a complete randomized design with different osmotic solutions (5, 10 and 15% w/w) and potato to solution ratios (1:6, 1:8 and 1:10) at varying temperatures (30, 40 and 60°C) and the best model obtained with optimization of a multi-layer perceptron neural network had a mean absolute error of 0.260, 0.516 and 0.137 for moisture content, water loss and solid gain of osmotically dehydrated slices respectively.

Keywords

, Osmotic dehydration, potato, neural network, genetic algorithm, modeling, mass transfer
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@article{paperid:1015284,
author = {Amiryousefi, Mohammad Reza and Mohebbi, Mohebbat},
title = {Neural network approach for modeling the mass transfer of potato slices during osmotic dehydration using genetic algorithm},
journal = {African Journal of Agricultural Research},
year = {2010},
volume = {5},
number = {1},
month = {January},
issn = {1991-637X},
pages = {70--77},
numpages = {7},
keywords = {Osmotic dehydration; potato; neural network; genetic algorithm; modeling; mass transfer},
}

[Download]

%0 Journal Article
%T Neural network approach for modeling the mass transfer of potato slices during osmotic dehydration using genetic algorithm
%A Amiryousefi, Mohammad Reza
%A Mohebbi, Mohebbat
%J African Journal of Agricultural Research
%@ 1991-637X
%D 2010

[Download]