On Operating Strategies of the Fuzzy Artmap Neural Network: A Comparative Study

Kuan, Mei Ming, Lim, Chee Peng and Harrison, Robert F. 2003, On Operating Strategies of the Fuzzy Artmap Neural Network: A Comparative Study, International journal of computational intelligence and applications, vol. 3, no. 1, pp. 23-43.

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Title On Operating Strategies of the Fuzzy Artmap Neural Network: A Comparative Study
Author(s) Kuan, Mei Ming
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Harrison, Robert F.
Journal name International journal of computational intelligence and applications
Volume number 3
Issue number 1
Start page 23
End page 43
Total pages 22
Publisher Imperial College Press
Place of publication London, United Kingdom
Publication date 2003-03
ISSN 1469-0268
Keyword(s) Fuzzy ARTMAP
Operating strategies
Ordering algorithm
Summary In this paper, the effectiveness of three different operating strategies applied to the Fuzzy ARTMAP (FAM) neural network in pattern classification tasks is analyzed and compared. Three types of FAM, namely average FAM, voting FAM, and ordered FAM, are formed for experimentation. In average FAM, a pool of the FAM networks is trained using random sequences of input patterns, and the performance metrics from multiple networks are averaged. In voting FAM, predictions from a number of FAM networks are combined using the majority-voting scheme to reach a final output. In ordered FAM, a pre-processing procedure known as the ordering algorithm is employed to identify a fixed sequence of input patterns for training the FAM network. Three medical data sets are employed to evaluate the performances of these three types of FAM. The results are analyzed and compared with those from other learning systems. Bootstrapping has also been used to analyze and quantify the results statistically. [ABSTRACT FROM AUTHOR].
Language eng
Field of Research 119999 Medical and Health Sciences not elsewhere classified
Socio Economic Objective 970111 Expanding Knowledge in the Medical and Health Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2003, EBSCO
Persistent URL http://hdl.handle.net/10536/DRO/DU:30048632

Document type: Journal Article
Collections: Institute for Frontier Materials
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