RePART: A modified fuzzy ARTMAP for pattern recognition

Canuto, Anne, Howells, Gareth, Fairhurst, Michael (1999) RePART: A modified fuzzy ARTMAP for pattern recognition. Computational Intelligence, 1625 . pp. 159-168. ISSN 0824-7935. (doi:10.1007/3-540-48774-3_19) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:17181)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL: http://dx.doi.org/10.1007/3-540-48774-3_19

Abstract

Fuzzy ARTMAP has been proposed as a neural network architecture for supervised learning of recognition categories and multidimensional maps in response to arbitrary sequences of analog or binary input vectors [12]. In this paper, RePART, a proposal for a variant of Fuzzy ARTMAP is analysed. As in ARTMAP-IC, this variant uses distributed code processing and instance counting in order to calculate the set of neurons used to predict untrained data. However, it additionally uses a reward/punishment process and takes into account every neuron in the calculation process..

Item Type:	Article
DOI/Identification number:	10.1007/3-540-48774-3_19
Subjects:	Q Science > Q Science (General) T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	M. Nasiriavanaki
Date Deposited:	30 Jun 2009 06:33 UTC
Last Modified:	05 Nov 2024 09:52 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/17181 (The current URI for this page, for reference purposes)

University of Kent Author Information

Howells, Gareth.

Creator's ORCID:	https://orcid.org/0000-0001-5590-0880
CReDIT Contributor Roles:

Fairhurst, Michael.

Creator's ORCID:
CReDIT Contributor Roles:

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