Training a Feedforward Neural Network Using Hybrid Gravitational Search Algorithm with Dynamic Multiswarm Particle Swarm Optimization

One of the most well-known methods for solving real-world and complex optimization problems is the gravitational search algorithm (GSA). The gravitational search technique suffers from a sluggish convergence rate and weak local search capabilities while solving complicated optimization problems. A u...

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Detalles Bibliográficos
Autores principales: Nagra, Arfan Ali, Alyas, Tahir, Hamid, Muhammad, Tabassum, Nadia, Ahmad, Aqeel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192231/
https://www.ncbi.nlm.nih.gov/pubmed/35707376
http://dx.doi.org/10.1155/2022/2636515

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192231/
https://www.ncbi.nlm.nih.gov/pubmed/35707376
http://dx.doi.org/10.1155/2022/2636515

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