Bio-inspired computational heuristics to study Lane–Emden systems arising in astrophysics model

This study reports novel hybrid computational methods for the solutions of nonlinear singular Lane–Emden type differential equation arising in astrophysics models by exploiting the strength of unsupervised neural network models and stochastic optimization techniques. In the scheme the neural network...

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Detalles Bibliográficos
Autores principales: Ahmad, Iftikhar, Raja, Muhammad Asif Zahoor, Bilal, Muhammad, Ashraf, Farooq
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5078133/
https://www.ncbi.nlm.nih.gov/pubmed/27822440
http://dx.doi.org/10.1186/s40064-016-3517-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5078133/
https://www.ncbi.nlm.nih.gov/pubmed/27822440
http://dx.doi.org/10.1186/s40064-016-3517-2

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