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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277586/
https://www.ncbi.nlm.nih.gov/pubmed/32438759
http://dx.doi.org/10.3390/biom10050787

Ejemplares similares