Modeling Moisture Sorption Isotherms of Corn Dried Distillers Grains with Solubles (DDGS) Using Artificial Neural Network

2009 ◽  
Vol 52 (1) ◽  
pp. 213-222 ◽  
Author(s):  
A. R. P. Kingsly ◽  
K. E. Ileleji
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Sorption Isotherms ◽  
Moisture Sorption ◽  
Distillers Grains ◽  
Distillers Grains With Solubles ◽  
Dried Distillers Grains ◽  
Moisture Sorption Isotherms ◽  
Artificial Neural

A Generic Method for Determining Moisture Sorption Isotherms of Cereal Grains and Legumes Using Artificial Neural Networks

2014 ◽  
Vol 37 (3) ◽  
pp. 308-316 ◽  
Author(s):  
Majdi Al-Mahasneh ◽  
Fahad Alkoaik ◽  
Ahmed Khalil ◽  
Ahmad Al-Mahasneh ◽  
Ahmed El-Waziry ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Sorption Isotherms ◽  
Moisture Sorption ◽  
Cereal Grains ◽  
Moisture Sorption Isotherms ◽  
Artificial Neural

scholarly journals APPLICATION OF NEURAL NETWORK FOR ESTIMATION OF PISTACHIO POWDER SORPTION ISOTHERMS

2014 ◽  
Vol 44 (3) ◽  
pp. 189-194
Author(s):  
H. TAVAKOLIPOUR ◽  
M. MOKHTARIAN
Keyword(s):  
Neural Network ◽  
Moisture Content ◽  
Gravimetric Method ◽  
Sorption Isotherms ◽  
Moisture Sorption ◽  
Isotherm Models ◽  
Ann Modeling ◽  
Moisture Sorption Isotherms ◽  
Artificial Neural Network Ann ◽  
Adsorption Desorption

Moisture sorption isotherms for pistachio powder were determined by gravimetric method at temperatures of 15, 25, 35 and 40ºC. Some mathematical models were tested to measure the amount of fitness of experimental data. The mathematical analysis proved that Caurie model was the most appropriate one. As well, adsorptiondesorption moisture content of pistachio powder were predicted using artificial neural network (ANN) approach. The results showed that, MLP network was able to predict adsorption-desorption moisture content with R2 values of 0.998 and 0.992, respectively. Comparison of ANN results with classical sorption isotherm models revealed that ANN modeling had greater accuracy in predicting equilibrium moisture content of pistachio powder.

Autofluorescence spectroscopy of oral leukoplakia using an artificial neural network

2000 ◽  
Vol 25 (4) ◽  
pp. 325-325
Author(s):  
J.L.N. Roodenburg ◽  
H.J. Van Staveren ◽  
N.L.P. Van Veen ◽  
O.C. Speelman ◽  
J.M. Nauta ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Oral Leukoplakia ◽  
Autofluorescence Spectroscopy ◽  
Artificial Neural

1902: Is Steinstrasse After ESWL of Renal Stones Predictable? Artificial Neural Network Analysis

2004 ◽  
Vol 171 (4S) ◽  
pp. 502-503
Author(s):  
Mohamed A. Gomha ◽  
Khaled Z. Sheir ◽  
Saeed Showky ◽  
Khaled Madbouly ◽  
Emad Elsobky ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Network Analysis ◽  
Renal Stones ◽  
Neural Network Analysis ◽  
Artificial Neural Network Analysis ◽  
Artificial Neural

Forecasting travel demand: a comparison of logit and artificial neural network methods

1998 ◽  
Vol 49 (7) ◽  
pp. 717-722 ◽  
Author(s):  
M C M de Carvalho ◽  
M S Dougherty ◽  
A S Fowkes ◽  
M R Wardman
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Travel Demand ◽  
Network Methods ◽  
Artificial Neural
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