Taguchi-generalized regression neural network micro-screening for physical and sensory characteristics of bread

Generalized regression neural networks (GRNN) may act as crowdsourcing cognitive agents to screen small, dense and complex datasets. The concurrent screening and optimization of several complex physical and sensory traits of bread is developed using a structured Taguchi-type micro-mining technique....

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Detalles Bibliográficos
Autor principal: Besseris, George J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5968041/
https://www.ncbi.nlm.nih.gov/pubmed/29862333
http://dx.doi.org/10.1016/j.heliyon.2018.e00551

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5968041/
https://www.ncbi.nlm.nih.gov/pubmed/29862333
http://dx.doi.org/10.1016/j.heliyon.2018.e00551

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