Reorganizing Neural Network System for Two Spirals and Linear Low-Density Polyethylene Copolymer Problems
This paper presents an automatic system of neural networks (NNs) that has the ability to simulate and predict many of applied problems. The system architectures are automatically reorganized and the experimental process starts again, if the required performance is not reached. This processing is con...
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| Format: | Article |
| Language: | English |
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Wiley
2009-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2009/721370 |
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| author | G. M. Behery A. A. El-Harby Mostafa Y. El-Bakry |
| author_facet | G. M. Behery A. A. El-Harby Mostafa Y. El-Bakry |
| author_sort | G. M. Behery |
| collection | DOAJ |
| description | This paper presents an automatic system of neural networks (NNs) that has the ability to simulate and predict many of applied problems. The system architectures are automatically reorganized and the experimental process starts again, if the required performance is not reached. This processing is continued until the performance obtained. This system is first applied and tested on the two spiral problem; it shows that excellent generalization performance obtained by classifying all points of the two-spirals correctly. After that, it is applied and tested on the shear stress and the pressure drop problem across the short orifice die as a function of shear rate at different mean pressures for linear low-density polyethylene copolymer (LLDPE) at 190∘C. The system shows a better agreement with an experimental data of the two cases: shear stress and pressure drop. The proposed system has been also designed to simulate other distributions not presented in the training set (predicted) and matched them effectively. |
| format | Article |
| id | doaj-art-2c162e70790b415e9805f0b3d0f48656 |
| institution | Kabale University |
| issn | 1687-9724 1687-9732 |
| language | English |
| publishDate | 2009-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Computational Intelligence and Soft Computing |
| spelling | doaj-art-2c162e70790b415e9805f0b3d0f486562025-02-03T01:07:58ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322009-01-01200910.1155/2009/721370721370Reorganizing Neural Network System for Two Spirals and Linear Low-Density Polyethylene Copolymer ProblemsG. M. Behery0A. A. El-Harby1Mostafa Y. El-Bakry2Mathematics Department, Faculty of Science, Mansoura University, New Damietta, EgyptMathematics Department, Faculty of Science, Mansoura University, New Damietta, EgyptPhysics Department, Faculty of Science, Benha University, Al Qalyubiyah, EgyptThis paper presents an automatic system of neural networks (NNs) that has the ability to simulate and predict many of applied problems. The system architectures are automatically reorganized and the experimental process starts again, if the required performance is not reached. This processing is continued until the performance obtained. This system is first applied and tested on the two spiral problem; it shows that excellent generalization performance obtained by classifying all points of the two-spirals correctly. After that, it is applied and tested on the shear stress and the pressure drop problem across the short orifice die as a function of shear rate at different mean pressures for linear low-density polyethylene copolymer (LLDPE) at 190∘C. The system shows a better agreement with an experimental data of the two cases: shear stress and pressure drop. The proposed system has been also designed to simulate other distributions not presented in the training set (predicted) and matched them effectively.http://dx.doi.org/10.1155/2009/721370 |
| spellingShingle | G. M. Behery A. A. El-Harby Mostafa Y. El-Bakry Reorganizing Neural Network System for Two Spirals and Linear Low-Density Polyethylene Copolymer Problems Applied Computational Intelligence and Soft Computing |
| title | Reorganizing Neural Network System for Two Spirals and Linear Low-Density Polyethylene Copolymer Problems |
| title_full | Reorganizing Neural Network System for Two Spirals and Linear Low-Density Polyethylene Copolymer Problems |
| title_fullStr | Reorganizing Neural Network System for Two Spirals and Linear Low-Density Polyethylene Copolymer Problems |
| title_full_unstemmed | Reorganizing Neural Network System for Two Spirals and Linear Low-Density Polyethylene Copolymer Problems |
| title_short | Reorganizing Neural Network System for Two Spirals and Linear Low-Density Polyethylene Copolymer Problems |
| title_sort | reorganizing neural network system for two spirals and linear low density polyethylene copolymer problems |
| url | http://dx.doi.org/10.1155/2009/721370 |
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