Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Prediction of the Amount of Wood Using Neural Networks
Year:2012
Research Areas
  • Artificial intelligence
Information
Abstract
Coniferous trees such as eucalyptus used to be preferred for papermaking because the cellulose fiber in the pulp of these species are longer, therefore making for stronger paper. In this study, the proposed neural network method solves in an efficient way, how to build prediction models in engineering. The system has been applied to predict amount of wood for production of paper, in which the coefficients can explain the variable with more influence over the variable to forecast. Obtaining a good prediction and as simple as possible, i.e. with the least number of forecast variables.
International
Si
JCR
No
Title
Journal of Mathematical Modelling and Algorithms, Springer. 2012.
ISBN
15701166
Impact factor JCR
Impact info
Volume
11/2012
10.1007/s10852-012-9186-4
Journal number
From page
295
To page
307
Month
SIN MES
Ranking
Participants
  • Autor: Ana Martinez Blanco (UPM)
  • Autor: Angel Luis Castellanos Peñuela (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Ciencias Básicas Aplicadas a la Ingeniería Forestal
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)