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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Main Authors: 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
Format: Article
Language:English
English
Published: Multidisciplinary Digital Publishing Institute 2021
Subjects:
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.
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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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