Modeling the photocatalytic degradation of 1,2-Dihydroxybenzene using Multilayer Perceptron Neural Networks
In this study, the modeling of photocatalytic degradation of 1,2 dihydroxybenzene using a multilayer perceptron neural network has been investigated. The multilayer perceptron neural network which consists of input layer, hidden layer with network configuration of 3, 17, 1 respectively were employed...
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Institute of Physics Publishing
2023
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| author | Alsaffar M.A. Ayodele B.V. Abdel Ghany M.A. Mustapa S.I. |
| author2 | 57210601717 |
| author_facet | 57210601717 Alsaffar M.A. Ayodele B.V. Abdel Ghany M.A. Mustapa S.I. |
| author_sort | Alsaffar M.A. |
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| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | In this study, the modeling of photocatalytic degradation of 1,2 dihydroxybenzene using a multilayer perceptron neural network has been investigated. The multilayer perceptron neural network which consists of input layer, hidden layer with network configuration of 3, 17, 1 respectively were employed for predictive modeling using 20 datasets consisting the pH of the solution, the amount of the photocatalyst and the volume of the oxidant. The analysis of the network revealed that the volume of the oxidant was the most relevant factor that influences the degradation of the 1,2 dihydroxybenzene while the amount of photocatalyst has the least effect. The multilayer perceptron neural network model successfully predicts the photocatalytic degradation of the 1,2 dihydroxybenzene with coefficient of determination (R2) of 0.974. The predicted and the actual degradation of the 1,2 dihydroxybenzene was in close agreement with minimal error of prediction as indicated by the residual plot. This study has demonstrated the suitability of the multilayer perceptron neural network as a robust tool for modeling the prediction of 1,2 dihydroxybenzene degradation by photocatalytic process. � 2020 Institute of Physics Publishing. All rights reserved. |
| format | Conference Paper |
| id | my.uniten.dspace-25384 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Institute of Physics Publishing |
| record_format | dspace |
| spelling | my.uniten.dspace-253842023-05-29T16:08:47Z Modeling the photocatalytic degradation of 1,2-Dihydroxybenzene using Multilayer Perceptron Neural Networks Alsaffar M.A. Ayodele B.V. Abdel Ghany M.A. Mustapa S.I. 57210601717 56862160400 57215843327 36651549700 In this study, the modeling of photocatalytic degradation of 1,2 dihydroxybenzene using a multilayer perceptron neural network has been investigated. The multilayer perceptron neural network which consists of input layer, hidden layer with network configuration of 3, 17, 1 respectively were employed for predictive modeling using 20 datasets consisting the pH of the solution, the amount of the photocatalyst and the volume of the oxidant. The analysis of the network revealed that the volume of the oxidant was the most relevant factor that influences the degradation of the 1,2 dihydroxybenzene while the amount of photocatalyst has the least effect. The multilayer perceptron neural network model successfully predicts the photocatalytic degradation of the 1,2 dihydroxybenzene with coefficient of determination (R2) of 0.974. The predicted and the actual degradation of the 1,2 dihydroxybenzene was in close agreement with minimal error of prediction as indicated by the residual plot. This study has demonstrated the suitability of the multilayer perceptron neural network as a robust tool for modeling the prediction of 1,2 dihydroxybenzene degradation by photocatalytic process. � 2020 Institute of Physics Publishing. All rights reserved. Final 2023-05-29T08:08:47Z 2023-05-29T08:08:47Z 2020 Conference Paper 10.1088/1757-899X/870/1/012057 2-s2.0-85089513864 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089513864&doi=10.1088%2f1757-899X%2f870%2f1%2f012057&partnerID=40&md5=b066ad4896a6951e70fad71184485ed5 https://irepository.uniten.edu.my/handle/123456789/25384 870 1 12057 All Open Access, Bronze Institute of Physics Publishing Scopus |
| spellingShingle | Alsaffar M.A. Ayodele B.V. Abdel Ghany M.A. Mustapa S.I. Modeling the photocatalytic degradation of 1,2-Dihydroxybenzene using Multilayer Perceptron Neural Networks |
| title | Modeling the photocatalytic degradation of 1,2-Dihydroxybenzene using Multilayer Perceptron Neural Networks |
| title_full | Modeling the photocatalytic degradation of 1,2-Dihydroxybenzene using Multilayer Perceptron Neural Networks |
| title_fullStr | Modeling the photocatalytic degradation of 1,2-Dihydroxybenzene using Multilayer Perceptron Neural Networks |
| title_full_unstemmed | Modeling the photocatalytic degradation of 1,2-Dihydroxybenzene using Multilayer Perceptron Neural Networks |
| title_short | Modeling the photocatalytic degradation of 1,2-Dihydroxybenzene using Multilayer Perceptron Neural Networks |
| title_sort | modeling the photocatalytic degradation of 1,2-dihydroxybenzene using multilayer perceptron neural networks |
| url_provider | http://dspace.uniten.edu.my/ |