A Gudermannian neural network performance for the numerical environmental and economic model

A Gudermannian neural network performance for the numerical environmental and economic model

The present work is to exploit the Gudermannian neural network (GNN) using the global competency of genetic algorithm (GA) and quick local refinements of sequential quadratic programming approach (SQPA), i.e., GNN-GA-SQPA for the nonlinear economic and environmental system. The differential form of...

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Bibliographic Details
Main Authors: Zulqurnain Sabir, Muhammad Umar, Soheil Salahshour, Rana Nicolas
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Alexandria Engineering Journal
Subjects:
Gudermannian neural network
Nonlinear economic and environmental system
Global search technique
Local search method
Reference solutions
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016823011444

Internet

http://www.sciencedirect.com/science/article/pii/S1110016823011444

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