Optimization of Optical Machine Structure by Backpropagation Neural Network Based on Particle Swarm Optimization and Bayesian Regularization Algorithms

Fit of the highly nonlinear functional relationship between input variables and output response is important and challenging for the optical machine structure optimization design process. The backpropagation neural network method based on particle swarm optimization and Bayesian regularization algor...

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Detalles Bibliográficos
Autores principales: Zhang, Xinyong, Sun, Liwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198718/
https://www.ncbi.nlm.nih.gov/pubmed/34205951
http://dx.doi.org/10.3390/ma14112998

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198718/
https://www.ncbi.nlm.nih.gov/pubmed/34205951
http://dx.doi.org/10.3390/ma14112998

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