Modified restricted Coulomb energy neural network

T. Olmez; E. Yazgan; O. K. Ersoy

doi:10.1049/el:19931307

Modified restricted Coulomb energy neural network

T. Olmez
, E. Yazgan
, O. K. Ersoy

Department of Electronics and Communication Engineering

Istanbul Technical University
Purdue University

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

A modified RCE network is presented. In the new algorithm, the locations of the centres of the hyperspheres are optimised in order to minimise the number of hyperspheres used and to improve classification performance.The optimisation is carried out with the genetic algorithm.

Original language	English
Pages (from-to)	1963-1965
Number of pages	3
Journal	Electronics Letters
Volume	29
Issue number	22
DOIs	https://doi.org/10.1049/el:19931307
Publication status	Published - Oct 1993

Keywords

Neural networks
Optimisation
Pattern recognition

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10.1049/el:19931307

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title = "Modified restricted Coulomb energy neural network",

abstract = "A modified RCE network is presented. In the new algorithm, the locations of the centres of the hyperspheres are optimised in order to minimise the number of hyperspheres used and to improve classification performance.The optimisation is carried out with the genetic algorithm.",

keywords = "Neural networks, Optimisation, Pattern recognition",

author = "T. Olmez and E. Yazgan and Ersoy, \{O. K.\}",

year = "1993",

month = oct,

doi = "10.1049/el:19931307",

language = "English",

volume = "29",

pages = "1963--1965",

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T1 - Modified restricted Coulomb energy neural network

AU - Olmez, T.

AU - Yazgan, E.

AU - Ersoy, O. K.

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N2 - A modified RCE network is presented. In the new algorithm, the locations of the centres of the hyperspheres are optimised in order to minimise the number of hyperspheres used and to improve classification performance.The optimisation is carried out with the genetic algorithm.

AB - A modified RCE network is presented. In the new algorithm, the locations of the centres of the hyperspheres are optimised in order to minimise the number of hyperspheres used and to improve classification performance.The optimisation is carried out with the genetic algorithm.

KW - Neural networks

KW - Optimisation

KW - Pattern recognition

UR - https://www.scopus.com/pages/publications/0027682243

U2 - 10.1049/el:19931307

DO - 10.1049/el:19931307

M3 - Article

AN - SCOPUS:0027682243

SN - 0013-5194

VL - 29

SP - 1963

EP - 1965

JO - Electronics Letters

JF - Electronics Letters

IS - 22

ER -

Modified restricted Coulomb energy neural network

Abstract

Keywords

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