Evaluation of drying and degradation kinetics using neurocomputing
Application of artificial neural network (ANN) in chemical engineering with special reference to drying process is discussed in the paper. Two types of networks: RBF and MLP, which are important for the description of a process dynamics, are presented. As an example drying and degradation of ascorbi...
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Brazilian Society of Chemical Engineering
2000-12-01
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| Series: | Brazilian Journal of Chemical Engineering |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322000000400060 |
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doaj-ae11231cb2e146409bb6f31c1cec830b2020-11-25T00:27:29ZengBrazilian Society of Chemical EngineeringBrazilian Journal of Chemical Engineering0104-66321678-43832000-12-01174-795596610.1590/S0104-66322000000400060Evaluation of drying and degradation kinetics using neurocomputingW. KaminskiE. TomczakApplication of artificial neural network (ANN) in chemical engineering with special reference to drying process is discussed in the paper. Two types of networks: RBF and MLP, which are important for the description of a process dynamics, are presented. As an example drying and degradation of ascorbic acid in agricultural products are considered. The final conclusion supported with experimental data states that the type of ANN should be carefully selected because the real capability of the ANN model for a given dynamic problem is expressed in recurrent working mode.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322000000400060dryingdegradation of ascorbic acidmodelling of dynamic processes |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
W. Kaminski E. Tomczak |
| spellingShingle |
W. Kaminski E. Tomczak Evaluation of drying and degradation kinetics using neurocomputing Brazilian Journal of Chemical Engineering drying degradation of ascorbic acid modelling of dynamic processes |
| author_facet |
W. Kaminski E. Tomczak |
| author_sort |
W. Kaminski |
| title |
Evaluation of drying and degradation kinetics using neurocomputing |
| title_short |
Evaluation of drying and degradation kinetics using neurocomputing |
| title_full |
Evaluation of drying and degradation kinetics using neurocomputing |
| title_fullStr |
Evaluation of drying and degradation kinetics using neurocomputing |
| title_full_unstemmed |
Evaluation of drying and degradation kinetics using neurocomputing |
| title_sort |
evaluation of drying and degradation kinetics using neurocomputing |
| publisher |
Brazilian Society of Chemical Engineering |
| series |
Brazilian Journal of Chemical Engineering |
| issn |
0104-6632 1678-4383 |
| publishDate |
2000-12-01 |
| description |
Application of artificial neural network (ANN) in chemical engineering with special reference to drying process is discussed in the paper. Two types of networks: RBF and MLP, which are important for the description of a process dynamics, are presented. As an example drying and degradation of ascorbic acid in agricultural products are considered. The final conclusion supported with experimental data states that the type of ANN should be carefully selected because the real capability of the ANN model for a given dynamic problem is expressed in recurrent working mode. |
| topic |
drying degradation of ascorbic acid modelling of dynamic processes |
| url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322000000400060 |
| work_keys_str_mv |
AT wkaminski evaluationofdryinganddegradationkineticsusingneurocomputing AT etomczak evaluationofdryinganddegradationkineticsusingneurocomputing |
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1725339532596871168 |