Artificial analysis of molecular marker loci linked to tree resistance response by an artificial neural network

Fernández, Jorge and Castellanos Peñuela, Angel Luis and Castellanos Peñuela, Juan Bautista (2015). Artificial analysis of molecular marker loci linked to tree resistance response by an artificial neural network. "International Journal Information Content and Processing", v. 2 (n. 1); pp. 43-51. ISSN 2367-5152.

Description

Title: Artificial analysis of molecular marker loci linked to tree resistance response by an artificial neural network
Author/s:
  • Fernández, Jorge
  • Castellanos Peñuela, Angel Luis
  • Castellanos Peñuela, Juan Bautista
Item Type: Article
Título de Revista/Publicación: International Journal Information Content and Processing
Date: 2015
ISSN: 2367-5152
Volume: 2
Subjects:
Freetext Keywords: Redes neuronales
Faculty: E.U.I.T. Forestal (UPM)
Department: Matemática Aplicada
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

One of the biggest challenges that software developers face is to make an accurate estimate of the project effort. Radial basis function neural networks have been used to software effort estimation in this work using NASA dataset. This paper evaluates and compares radial basis function versus a regression model. The results show that radial basis function neural network have obtained less Mean Square Error than the regression method.

More information

Item ID: 38187
DC Identifier: http://oa.upm.es/38187/
OAI Identifier: oai:oa.upm.es:38187
Official URL: http://www.foibg.com/ijicp/vol02/ijicp02-01-p03.pdf
Deposited by: Memoria Investigacion
Deposited on: 22 Oct 2015 11:25
Last Modified: 03 Jun 2019 14:45
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