Modeling Isosteric Heat of Soya Bean for Desorption Energy Estimation Using Neural Network Approach

Modeling Isosteric Heat of Soya Bean for Desorption Energy Estimation Using Neural Network Approach

Sorption isotherm of soya bean (Glycine max (L.) Merr.) was obtained by the dynamic experimental method. Artificial Neural Networks (ANNs) were used for modeling soya bean equilibrium moisture content (EMC). Thermodynamic equations and trained ANN for prediction of two thermodynamic properties of ne...

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Autores principales: Amiri Chayjan,Reza, Esna-Ashari,Mahmood
Lenguaje:English
Publicado: Instituto de Investigaciones Agropecuarias, INIA 2010
Materias:
Back propagation
entropy
isosteric heat
sorption isotherm
soya bean
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392010000400012
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spelling oai:scielo:S0718-583920100004000122018-10-01Modeling Isosteric Heat of Soya Bean for Desorption Energy Estimation Using Neural Network ApproachAmiri Chayjan,RezaEsna-Ashari,Mahmood Back propagation entropy isosteric heat sorption isotherm soya bean Sorption isotherm of soya bean (Glycine max (L.) Merr.) was obtained by the dynamic experimental method. Artificial Neural Networks (ANNs) were used for modeling soya bean equilibrium moisture content (EMC). Thermodynamic equations and trained ANN for prediction of two thermodynamic properties of net isosteric heat and entropy of soya bean were utilized. The ANN models were better compared with mathematical models. In this study, the isosteric heat and entropy of sorption of soya bean were separately predicted by two power models as a EMC function. Predictive power of the models was high (R² ≈ 0.99). At the moisture content above 11% (dry basis, db), isosteric heat and entropy of sorption of soya bean were smoothly decreased, while they were highest at moisture content about 8% (db). Isosteric heat and entropy would be useful in the storage simulation of dried soya bean. The ANN model predicts soya bean EMC more accurately than mathematical models. Hence, better equations could be developed for the prediction of heat of sorption and entropy based on data from the ANN model.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.70 n.4 20102010-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392010000400012en10.4067/S0718-58392010000400012
institution Scielo Chile
collection Scielo Chile
language English
topic Back propagation
entropy
isosteric heat
sorption isotherm
soya bean
spellingShingle Back propagation
entropy
isosteric heat
sorption isotherm
soya bean
Amiri Chayjan,Reza
Esna-Ashari,Mahmood
Modeling Isosteric Heat of Soya Bean for Desorption Energy Estimation Using Neural Network Approach
description Sorption isotherm of soya bean (Glycine max (L.) Merr.) was obtained by the dynamic experimental method. Artificial Neural Networks (ANNs) were used for modeling soya bean equilibrium moisture content (EMC). Thermodynamic equations and trained ANN for prediction of two thermodynamic properties of net isosteric heat and entropy of soya bean were utilized. The ANN models were better compared with mathematical models. In this study, the isosteric heat and entropy of sorption of soya bean were separately predicted by two power models as a EMC function. Predictive power of the models was high (R² ≈ 0.99). At the moisture content above 11% (dry basis, db), isosteric heat and entropy of sorption of soya bean were smoothly decreased, while they were highest at moisture content about 8% (db). Isosteric heat and entropy would be useful in the storage simulation of dried soya bean. The ANN model predicts soya bean EMC more accurately than mathematical models. Hence, better equations could be developed for the prediction of heat of sorption and entropy based on data from the ANN model.
author Amiri Chayjan,Reza
Esna-Ashari,Mahmood
author_facet Amiri Chayjan,Reza
Esna-Ashari,Mahmood
author_sort Amiri Chayjan,Reza
title Modeling Isosteric Heat of Soya Bean for Desorption Energy Estimation Using Neural Network Approach
title_short Modeling Isosteric Heat of Soya Bean for Desorption Energy Estimation Using Neural Network Approach
title_full Modeling Isosteric Heat of Soya Bean for Desorption Energy Estimation Using Neural Network Approach
title_fullStr Modeling Isosteric Heat of Soya Bean for Desorption Energy Estimation Using Neural Network Approach
title_full_unstemmed Modeling Isosteric Heat of Soya Bean for Desorption Energy Estimation Using Neural Network Approach
title_sort modeling isosteric heat of soya bean for desorption energy estimation using neural network approach
publisher Instituto de Investigaciones Agropecuarias, INIA
publishDate 2010
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392010000400012
work_keys_str_mv AT amirichayjanreza modelingisostericheatofsoyabeanfordesorptionenergyestimationusingneuralnetworkapproach
AT esnaasharimahmood modelingisostericheatofsoyabeanfordesorptionenergyestimationusingneuralnetworkapproach
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