Polynomial regression using a perceptron with axo-axonic connections

Gómez Blas, Nuria and Mingo López, Luis Fernando de and Arteta, Alberto (2014). Polynomial regression using a perceptron with axo-axonic connections. "International Journal Information Content and Processing", v. 1 (n. 2); pp. 103-114. ISSN 2367-5128.

Description

Title: Polynomial regression using a perceptron with axo-axonic connections
Author/s:
  • Gómez Blas, Nuria
  • Mingo López, Luis Fernando de
  • Arteta, Alberto
Item Type: Article
Título de Revista/Publicación: International Journal Information Content and Processing
Date: 2014
ISSN: 2367-5128
Volume: 1
Subjects:
Freetext Keywords: Social intelligence, neural networks, grammatical swarm, particle swarm optimization, learning Algorithm.
Faculty: E.T.S.I. de Sistemas Informáticos (UPM)
Department: Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2010-21303-C04- 02UnspecifiedUnspecifiedUnspecified

More information

Item ID: 37422
DC Identifier: http://oa.upm.es/37422/
OAI Identifier: oai:oa.upm.es:37422
Official URL: http://www.foibg.com/ijicp/vol01/ijicp01-02-p01.pdf
Deposited by: Memoria Investigacion
Deposited on: 29 Feb 2016 20:35
Last Modified: 29 Feb 2016 20:35
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