Integrated intelligent neuro-evolutionary computing approach to study SEIRC model representing campylobacteriosis transmission dynamics

Integrated intelligent neuro-evolutionary computing approach to study SEIRC model representing campylobacteriosis transmission dynamics

The objective of the presented study is to develop a neuro-evaluation-based algorithm for the mathematical solution of the SEIRC model that describes the dynamics of campylobacteriosis transmission (CBT) using the artificial neural network along with log-sigmoid as an activation function (ANN-LS) an...

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Bibliographic Details
Main Authors: Muhammad Shoaib, Saba Kainat, Areej Abdullah Alabduljabbar, Kottakkaran Sooppy Nisar, Muhammad Asif Zahoor Raja
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Applied Mathematics in Science and Engineering
Subjects:
Campylobacteriosis transmission
artificial neural networks
log-sigmoid
genetic algorithm
sequential quadratic programming
34A34
Online Access:https://www.tandfonline.com/doi/10.1080/27690911.2024.2441257
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https://www.tandfonline.com/doi/10.1080/27690911.2024.2441257

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