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

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 (<i>T</i><sub>e</sub>) and burnout index (<i>D</i><s...

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Bibliographic Details
Main Authors: Roberto López, Camino Fernández, Fernando J. Pereira, Ana Díez, Jorge Cara, Olegario Martínez, Marta E. Sánchez
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Biomolecules
Subjects:
oxy-combustion
biomass
factorial design
Monte Carlo
optimisation
neural network
Online Access:https://www.mdpi.com/2218-273X/10/5/787

Internet

https://www.mdpi.com/2218-273X/10/5/787

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