Gudermannian neural network procedure for the nonlinear prey-predator dynamical system

Gudermannian neural network procedure for the nonlinear prey-predator dynamical system

The present study performs the design of a novel Gudermannian neural networks (GNNs) for the nonlinear dynamics of prey-predator system (NDPPS). The process of GNNs is applied using the global and local search approaches named as genetic algorithm and interior-point algorithms, i.e., GNNs-GA-IPA. An...

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Bibliographic Details
Main Authors: Hafsa Alkaabi, Noura Alkarbi, Nouf Almemari, Salem Ben Said, Zulqurnain Sabir
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Heliyon
Subjects:
Nonlinear predator-prey system
Gudermannian neural networks
Interior-point algorithm
Genetic algorithm
Numerical computing
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024049211

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http://www.sciencedirect.com/science/article/pii/S2405844024049211

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