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A Comparison between Several Response Surface Methodology Designs and a Neural Network Model to Optimise the Oxidation Conditions of a Lignocellulosic Blend

In this paper, response surface methodology (RSM) designs and an artificial neural network (ANN) are used to obtain the optimal conditions for the oxy-combustion of a corn–rape blend. The ignition temperature (T(e)) and burnout index (D(f)) were selected as the responses to be optimised, while the C...

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Detalles Bibliográficos
Autores principales:	López, Roberto, Fernández, Camino, Pereira, Fernando J., Díez, Ana, Cara, Jorge, Martínez, Olegario, Sánchez, Marta E.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277586/ https://www.ncbi.nlm.nih.gov/pubmed/32438759 http://dx.doi.org/10.3390/biom10050787

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