Adaptation of Kohonen feature map topologies by genetic algorithms

D. Polani; T. Uthmann

Adaptation of Kohonen feature map topologies by genetic algorithms

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Abstract

The following paper presents simulational results of coupling Genetic Algorithms to the Kohonen Feature Map paradigm. The Genetic Algorithm is used to improve the Kohonen Net topology, thus yielding better adaptation to the input vector space [0, 1]. Different parameters of the process and their influence as to the resulting topologies are discussed.

Original language	English
Title of host publication	In: Parallel Problem Solving - Nature Conf procs (PPSN 2)
Publisher	Elsevier
Pages	421-429
ISBN (Print)	978-0444897305, 0444897305
Publication status	Published - 1992

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@inproceedings{32bd753c7eb04e078e36b2e7f18b6808,

title = "Adaptation of Kohonen feature map topologies by genetic algorithms",

abstract = "The following paper presents simulational results of coupling Genetic Algorithms to the Kohonen Feature Map paradigm. The Genetic Algorithm is used to improve the Kohonen Net topology, thus yielding better adaptation to the input vector space [0, 1]. Different parameters of the process and their influence as to the resulting topologies are discussed.",

author = "D. Polani and T. Uthmann",

year = "1992",

language = "English",

isbn = "978-0444897305",

pages = "421--429",

booktitle = "In: Parallel Problem Solving - Nature Conf procs (PPSN 2)",

publisher = "Elsevier",

address = "Netherlands",

}

TY - GEN

T1 - Adaptation of Kohonen feature map topologies by genetic algorithms

AU - Polani, D.

AU - Uthmann, T.

PY - 1992

Y1 - 1992

N2 - The following paper presents simulational results of coupling Genetic Algorithms to the Kohonen Feature Map paradigm. The Genetic Algorithm is used to improve the Kohonen Net topology, thus yielding better adaptation to the input vector space [0, 1]. Different parameters of the process and their influence as to the resulting topologies are discussed.

AB - The following paper presents simulational results of coupling Genetic Algorithms to the Kohonen Feature Map paradigm. The Genetic Algorithm is used to improve the Kohonen Net topology, thus yielding better adaptation to the input vector space [0, 1]. Different parameters of the process and their influence as to the resulting topologies are discussed.

M3 - Conference contribution

SN - 978-0444897305

SN - 0444897305

SP - 421

EP - 429

BT - In: Parallel Problem Solving - Nature Conf procs (PPSN 2)

PB - Elsevier

ER -

Adaptation of Kohonen feature map topologies by genetic algorithms

Abstract

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