Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Polynomial Regression using a Perceptron with Axo-axonic Connections
Year:2014
Research Areas
  • Electronic technology and of the communications
Information
Abstract
Social behavior is mainly based on swarm colonies, in which each individual shares its knowledge about the environment with other individuals to get optimal solutions. Such co-operative model differs from competitive models in the way that individuals die and are born by combining information of alive ones. This paper presents the particle swarm optimization with differential evolution algorithm in order to train a neural network instead the classic back propagation algorithm. The performance of a neural network for particular problems is critically dependant on the choice of the processing elements, the net architecture and the learning algorithm. This work is focused in the development of methods for the evolutionary design of artificial neural networks. This paper focuses in optimizing the topology and structure of connectivity for these networks
International
Si
JCR
Si
Title
International Journal Information Content and Processing
ISBN
2367-5128
Impact factor JCR
Impact info
Volume
1
Journal number
2
From page
103
To page
114
Month
SIN MES
Ranking
Participants
  • Autor: Nuria Gomez Blas (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Señal Fotónica
  • Departamento: Sistemas Informáticos
S2i 2020 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)