Optimisation of ANN topology for predicting the rehydrated apple cubes colour change using RSM and GA

In this study, an efficient optimisation method by combining response surface methodology (RSM) and genetic algorithm (GA) is introduced to find the optimal topology of artificial neural networks (ANNs) for predicting colour changes in rehydrated apple cubes. A multi-layered feed-forward backpropaga...

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Detalles Bibliográficos
Autores principales: Winiczenko, Radosław, Górnicki, Krzysztof, Kaleta, Agnieszka, Janaszek-Mańkowska, Monika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2016
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6132921/
https://www.ncbi.nlm.nih.gov/pubmed/30220793
http://dx.doi.org/10.1007/s00521-016-2801-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6132921/
https://www.ncbi.nlm.nih.gov/pubmed/30220793
http://dx.doi.org/10.1007/s00521-016-2801-y

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