Modeling nonlinear fractional-order subdiffusive dynamics in nuclear reactor with artificial neural networks

This paper presents the development and analysis of artificial neural network (ANN) models for the nonlinear fractional-order (FO) point reactor kinetics model, FO Nordheim–Fuchs model, inverse FO point reactor kinetics model and FO constant delayed neutron production rate approximation model. These...

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Detalles Bibliográficos
Autores principales: Bhusari, Balu P., Patil, Mukesh D., Jadhav, Sharad P., Vyawahare, Vishwesh A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789378/
https://www.ncbi.nlm.nih.gov/pubmed/36590649
http://dx.doi.org/10.1007/s40435-022-01100-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789378/
https://www.ncbi.nlm.nih.gov/pubmed/36590649
http://dx.doi.org/10.1007/s40435-022-01100-6

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