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The use of confidence measures to enhance combination strategies in multi-network neuro-fuzzy systems

Canuto, Anne, Howells, Gareth, Fairhurst, Michael (2000) The use of confidence measures to enhance combination strategies in multi-network neuro-fuzzy systems. Connection Science, 12 (3-4). pp. 315-331. ISSN 0954-0091. (doi:10.1080/09540090010014089) (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:16212)

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/10.1080/09540090010014089

Abstract

It is well known that substantial improvements can be obtained in difficult pattern recognition problems by combining or integrating the outputs of multiple neural classifiers. This paper analyses the performance of some combination schemes applied to a multi-hybrid neural system which is composed of neural and fuzzy neural networks. Essentially, the combination methods employ different ways to extract valuable information from the output of the experts through the use of confidence (weights) measures of the ensemble members to each class. An empirical evaluation in a handwritten numeral. recognition task is used to investigate the performance of the presented methods in comparison with some existing combination methods.

Item Type: Article
DOI/Identification number: 10.1080/09540090010014089
Uncontrolled keywords: multi-network neuro-fuzzy systems; neural networks; fuzzy neural networks; confidence measures
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: P. Ogbuji
Date Deposited: 09 Apr 2009 12:06 UTC
Last Modified: 16 Nov 2021 09:54 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/16212 (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:
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