https://doi.org/10.1140/epjp/s13360-024-05829-1
Regular Article
Applications of artificial neural network to solve the nonlinear Cassava mosaic disease model
1
Department of Mathematics, Lahore College for Women University, Lahore, Pakistan
2
Department of Mathematics, COMSATS University Islamabad, Lahore Campus, 54000, Lahore, Pakistan
3
Department of Mathematics and Statistics, University of Swat, SWAT, KPK, Pakistan
4
Department of Mathematics, Faculty of Science, King Khalid University, 62529, Abha, Saudi Arabia
Received:
2
October
2024
Accepted:
11
November
2024
Published online:
21
November
2024
The purpose of this research work is to solve the cassava mosaics disease model numerically by using artificial neural networks (
). The virus that causes cassava mosaic disease (
) is spread by whiteflies. Disease has the potential to destroy cassava at any point in its growth cycle, leading to reduced yields. In this paper, we built a deterministic mathematical model with saturation incidence rates for the cassava mosaic disease outbreak. The purpose of this model is to clarify how vectors affect cassava disease outbreaks. Levenberg–Marquardt backpropagation (
) and are used to provide the numerical study of the cassava mosaic disease. To address the cassava mosaic disease, three distinct forms of authentication, testing, and training are used with sample data. The cassava mosaic mathematical model’s statistical ratios are chosen with 70% for training and 15% for both validation and testing. The numerical results for cassava mosaic disease were compared to a reference dataset constructed using Adams solutions.
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© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
