Numerical study of the environmental and economic system through the computational heuristic based on artificial neural networks
In this study, the numerical computation heuristic of the environmental and economic system using the artificial neural networks (ANNs) structure together with the capabilities of the heuristic global search genetic algorithm (GA) and the quick local search interior-point algorithm (IPA), i.e., ANN-...
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Format: | Article |
Language: | English English |
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Multidisciplinary Digital Publishing Institute
2021
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Online Access: | https://eprints.ums.edu.my/id/eprint/32624/3/Numerical%20study%20of%20the%20environmental%20and%20economic%20system%20through%20the%20computational%20heuristic%20based%20on%20artificial%20neural%20networks%20_ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/32624/5/Numerical%20study%20of%20the%20environmental%20and%20economic%20system%20through%20the%20computational%20heuristic%20based%20on%20artificial%20neural%20networks.pdf |
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author | Kashif Nisar Zulqurnain Sabir Muhammad Asif Zahoor Raja Ag. Asri Ag. Ibrahim Samy Refahy Mahmoud Mohammed Balubaid Danda B. Rawat Joel J. P. C. Rodrigues |
author_facet | Kashif Nisar Zulqurnain Sabir Muhammad Asif Zahoor Raja Ag. Asri Ag. Ibrahim Samy Refahy Mahmoud Mohammed Balubaid Danda B. Rawat Joel J. P. C. Rodrigues |
author_sort | Kashif Nisar |
collection | UMS |
description | In this study, the numerical computation heuristic of the environmental and economic system using the artificial neural networks (ANNs) structure together with the capabilities of the heuristic global search genetic algorithm (GA) and the quick local search interior-point algorithm (IPA), i.e., ANN-GA-IPA. The environmental and economic system is dependent of three categories, execution cost of control standards and new technical diagnostics elimination costs of emergencies values and the competence of the system of industrial elements. These three elements form a nonlinear differential environmental and economic system. The optimization of an error-based objective function is performed using the differential environmental and economic system and its initial conditions. The optimization of an error-based objective function is performed using the differential environmental and economic system and its initial conditions. |
first_indexed | 2024-03-06T03:16:06Z |
format | Article |
id | ums.eprints-32624 |
institution | Universiti Malaysia Sabah |
language | English English |
last_indexed | 2024-03-06T03:16:06Z |
publishDate | 2021 |
publisher | Multidisciplinary Digital Publishing Institute |
record_format | dspace |
spelling | ums.eprints-326242022-05-19T01:27:57Z https://eprints.ums.edu.my/id/eprint/32624/ Numerical study of the environmental and economic system through the computational heuristic based on artificial neural networks Kashif Nisar Zulqurnain Sabir Muhammad Asif Zahoor Raja Ag. Asri Ag. Ibrahim Samy Refahy Mahmoud Mohammed Balubaid Danda B. Rawat Joel J. P. C. Rodrigues QA71-90 Instruments and machines In this study, the numerical computation heuristic of the environmental and economic system using the artificial neural networks (ANNs) structure together with the capabilities of the heuristic global search genetic algorithm (GA) and the quick local search interior-point algorithm (IPA), i.e., ANN-GA-IPA. The environmental and economic system is dependent of three categories, execution cost of control standards and new technical diagnostics elimination costs of emergencies values and the competence of the system of industrial elements. These three elements form a nonlinear differential environmental and economic system. The optimization of an error-based objective function is performed using the differential environmental and economic system and its initial conditions. The optimization of an error-based objective function is performed using the differential environmental and economic system and its initial conditions. Multidisciplinary Digital Publishing Institute 2021 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/32624/3/Numerical%20study%20of%20the%20environmental%20and%20economic%20system%20through%20the%20computational%20heuristic%20based%20on%20artificial%20neural%20networks%20_ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/32624/5/Numerical%20study%20of%20the%20environmental%20and%20economic%20system%20through%20the%20computational%20heuristic%20based%20on%20artificial%20neural%20networks.pdf Kashif Nisar and Zulqurnain Sabir and Muhammad Asif Zahoor Raja and Ag. Asri Ag. Ibrahim and Samy Refahy Mahmoud and Mohammed Balubaid and Danda B. Rawat and Joel J. P. C. Rodrigues (2021) Numerical study of the environmental and economic system through the computational heuristic based on artificial neural networks. Sensors, 21. pp. 1-18. ISSN 1996-2022 https://www.mdpi.com/1424-8220/21/19/6567/htm https://doi.org/10.3390/s21196567 https://doi.org/10.3390/s21196567 |
spellingShingle | QA71-90 Instruments and machines Kashif Nisar Zulqurnain Sabir Muhammad Asif Zahoor Raja Ag. Asri Ag. Ibrahim Samy Refahy Mahmoud Mohammed Balubaid Danda B. Rawat Joel J. P. C. Rodrigues Numerical study of the environmental and economic system through the computational heuristic based on artificial neural networks |
title | Numerical study of the environmental and economic system through the computational heuristic based on artificial neural networks |
title_full | Numerical study of the environmental and economic system through the computational heuristic based on artificial neural networks |
title_fullStr | Numerical study of the environmental and economic system through the computational heuristic based on artificial neural networks |
title_full_unstemmed | Numerical study of the environmental and economic system through the computational heuristic based on artificial neural networks |
title_short | Numerical study of the environmental and economic system through the computational heuristic based on artificial neural networks |
title_sort | numerical study of the environmental and economic system through the computational heuristic based on artificial neural networks |
topic | QA71-90 Instruments and machines |
url | https://eprints.ums.edu.my/id/eprint/32624/3/Numerical%20study%20of%20the%20environmental%20and%20economic%20system%20through%20the%20computational%20heuristic%20based%20on%20artificial%20neural%20networks%20_ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/32624/5/Numerical%20study%20of%20the%20environmental%20and%20economic%20system%20through%20the%20computational%20heuristic%20based%20on%20artificial%20neural%20networks.pdf |
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