Minimal error rate classification in a non-stationary environment via a modified fuzzy ARTMAP network

Lim, Chee Peng; Harrison, RF

Minimal error rate classification in a non-stationary environment via a modified fuzzy ARTMAP network

https://hdl.handle.net/10536/DRO/DU:30050214
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conference contribution

posted on 2024-06-03, 17:02 authored by Chee Peng Lim, RF Harrison

Minimal error rate classification in a non-stationary environment via a modified fuzzy ARTMAP network

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DOI - Is version of https://doi.org/10.1007/978-3-7091-7535-4_130

Location

ALES, FRANCE

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:A1995BE73Z00129&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

E1.1 Full written paper - refereed

Editor/Contributor(s)

Pearson DW, Steele NC, Albrecht RF

Pagination

503-506

Start date

1995-01-01

ISBN-13

9783211826928

ISBN-10

3-211-82692-0

Title of proceedings

ARTIFICIAL NEURAL NETS AND GENETIC ALGORITHMS

Event

International Conference on Artificial Neural Nets and Genetic Algorithms

Publisher

SPRINGER-VERLAG

Publication URL

http://dx.doi.org/10.1007/978-3-7091-7535-4_130

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Keywords

Science & Technology Technology Computer Science, Artificial Intelligence Computer Science 109999 Technology not elsewhere classified 970110 Expanding Knowledge in Technology

Minimal error rate classification in a non-stationary environment via a modified fuzzy ARTMAP network

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