Prediction of Red Mud Bound-Soda Losses in Bayer Process Using Neural Networks
In the Bayer process, the reaction of silica in bauxite with caustic soda causes the loss of great amount of NaOH. In this research, the bound-soda losses in Bayer process solid residue (red mud) are predicted using intelligent techniques. This method, based on the application of regression and arti...
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Iranian Association of Chemical Engineering (IAChE)
2016-04-01
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| Series: | Iranian Journal of Chemical Engineering |
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| Online Access: | https://www.ijche.com/article_15372_adb8c99476d998d53bba15d9b470fafa.pdf |
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| author | M. Mahmoudian A. Ghaemi H. Hashemabadi |
| author_facet | M. Mahmoudian A. Ghaemi H. Hashemabadi |
| author_sort | M. Mahmoudian |
| collection | DOAJ |
| description | In the Bayer process, the reaction of silica in bauxite with caustic soda causes the loss of great amount of NaOH. In this research, the bound-soda losses in Bayer process solid residue (red mud) are predicted using intelligent techniques. This method, based on the application of regression and artificial neural networks (AAN), has been used to predict red mud bound-soda losses in Iran Alumina Company. Multilayer perceptron (MLP), radial basis function (RBF) networks and multiple linear regressions (MLR) were applied. The results of three methodologies were compared for their predictive capabilities in terms of the correlation coefficient (R), mean square error (MSE) and the absolute average deviation (AAD) based on the experimental data set. The optimum MLP network was obtained with structure of two hidden layer including 13 and 15 neurons in each layer respectively. The results showed that the RBF model with 0.117, 5.909 and 0.82 in MSE, AAD and R, respectively, is extremely accurate in prediction as compared with MLP and MLR. |
| format | Article |
| id | doaj-art-9a15c82124b74429afb7de0e45d2b9fb |
| institution | DOAJ |
| issn | 1735-5397 2008-2355 |
| language | English |
| publishDate | 2016-04-01 |
| publisher | Iranian Association of Chemical Engineering (IAChE) |
| record_format | Article |
| series | Iranian Journal of Chemical Engineering |
| spelling | doaj-art-9a15c82124b74429afb7de0e45d2b9fb2025-08-20T03:13:38ZengIranian Association of Chemical Engineering (IAChE)Iranian Journal of Chemical Engineering1735-53972008-23552016-04-01132465615372Prediction of Red Mud Bound-Soda Losses in Bayer Process Using Neural NetworksM. Mahmoudian0A. Ghaemi1H. Hashemabadi2Iran Alumina Complex, P.O. Box 944115-13114, Jajarm, Iran.School of Chemical Engineering, Iran University of Science and Technology, Tehran, P.O. Box 16765-163, IranIran Alumina Complex, P.O. Box 944115-13114, Jajarm, Iran.In the Bayer process, the reaction of silica in bauxite with caustic soda causes the loss of great amount of NaOH. In this research, the bound-soda losses in Bayer process solid residue (red mud) are predicted using intelligent techniques. This method, based on the application of regression and artificial neural networks (AAN), has been used to predict red mud bound-soda losses in Iran Alumina Company. Multilayer perceptron (MLP), radial basis function (RBF) networks and multiple linear regressions (MLR) were applied. The results of three methodologies were compared for their predictive capabilities in terms of the correlation coefficient (R), mean square error (MSE) and the absolute average deviation (AAD) based on the experimental data set. The optimum MLP network was obtained with structure of two hidden layer including 13 and 15 neurons in each layer respectively. The results showed that the RBF model with 0.117, 5.909 and 0.82 in MSE, AAD and R, respectively, is extremely accurate in prediction as compared with MLP and MLR.https://www.ijche.com/article_15372_adb8c99476d998d53bba15d9b470fafa.pdfneural networklinear regressionbound-sodared mudbayer process |
| spellingShingle | M. Mahmoudian A. Ghaemi H. Hashemabadi Prediction of Red Mud Bound-Soda Losses in Bayer Process Using Neural Networks Iranian Journal of Chemical Engineering neural network linear regression bound-soda red mud bayer process |
| title | Prediction of Red Mud Bound-Soda Losses in Bayer Process Using Neural Networks |
| title_full | Prediction of Red Mud Bound-Soda Losses in Bayer Process Using Neural Networks |
| title_fullStr | Prediction of Red Mud Bound-Soda Losses in Bayer Process Using Neural Networks |
| title_full_unstemmed | Prediction of Red Mud Bound-Soda Losses in Bayer Process Using Neural Networks |
| title_short | Prediction of Red Mud Bound-Soda Losses in Bayer Process Using Neural Networks |
| title_sort | prediction of red mud bound soda losses in bayer process using neural networks |
| topic | neural network linear regression bound-soda red mud bayer process |
| url | https://www.ijche.com/article_15372_adb8c99476d998d53bba15d9b470fafa.pdf |
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