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SAGRAD: A Program for Neural Network Training with Simulated Annealing and the Conjugate Gradient Method

SAGRAD (Simulated Annealing GRADient), a Fortran 77 program for computing neural networks for classification using batch learning, is discussed. Neural network training in SAGRAD is based on a combination of simulated annealing and Møller’s scaled conjugate gradient algorithm, the latter a variation...

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Detalles Bibliográficos
Autores principales: Bernal, Javier, Torres-Jimenez, Jose
Formato: Online Artículo Texto
Lenguaje:English
Publicado: [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4730672/
https://www.ncbi.nlm.nih.gov/pubmed/26958442
http://dx.doi.org/10.6028/jres.120.009