A parsimonious radial basis function-based neural network for data classification

Tan, Shing Chiang, Lim, Chee Peng and Watada, Junzo 2016, A parsimonious radial basis function-based neural network for data classification. In Tweedale, Jeffrey W., Neves-Silva, Rui, Jain, Lakhmi C., Phillips-Wren, Gloria, Watada, Junzo and Howlett, Robert J. (ed), Intelligent decision technology support in practice, Springer, Berlin, Germany, pp.49-60, doi: 10.1007/978-3-319-21209-8_4.

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Title A parsimonious radial basis function-based neural network for data classification
Author(s) Tan, Shing Chiang
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Watada, Junzo
Title of book Intelligent decision technology support in practice
Editor(s) Tweedale, Jeffrey W.
Neves-Silva, Rui
Jain, Lakhmi C.
Phillips-Wren, Gloria
Watada, Junzo
Howlett, Robert J.
Publication date 2016
Series Smart innovation, system and technologies
Chapter number 4
Total chapters 14
Start page 49
End page 60
Total pages 12
Publisher Springer
Place of Publication Berlin, Germany
Keyword(s) Radial basis function neural network
Adaptive resonance theory
Harmonic mean algorithm
Summary The radial basis function neural network trained with a dynamic decay adjustment (known as RBFNDDA) algorithm exhibits a greedy insertion behavior as a result of recruiting many hidden nodes for encoding information during its training process. In this chapter, a new variant RBFNDDA is proposed to rectify such deficiency. Specifically, the hidden nodes of RBFNDDA are re-organized through the supervised Fuzzy ARTMAP (FAM) classifier, and the parameters of these nodes are adapted using the Harmonic Means (HM) algorithm. The performance of the proposed model is evaluated empirically using three benchmark data sets. The results indicate that the proposed model is able to produce a compact network structure and, at the same time, to provide high classification performances.
ISBN 9783319212081
ISSN 2190-3018
Language eng
DOI 10.1007/978-3-319-21209-8_4
Field of Research 099999 Engineering not elsewhere classified
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category B1 Book chapter
Copyright notice ©2016, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30087681

Document type: Book Chapter
Collections: Centre for Intelligent Systems Research
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