Reducing the complexity of an adaptive radial basis function network with a histogram algorithm

Goh, Pey Yun, Tan, Shing Chiang, Cheah, Wooi Ping and Lim, Chee Peng 2017, Reducing the complexity of an adaptive radial basis function network with a histogram algorithm, Neural computing and applications, vol. 28, Supplement 1, pp. 365-378, doi: 10.1007/s00521-016-2350-4.

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Title Reducing the complexity of an adaptive radial basis function network with a histogram algorithm
Author(s) Goh, Pey Yun
Tan, Shing Chiang
Cheah, Wooi Ping
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Journal name Neural computing and applications
Volume number 28
Season Supplement 1
Start page 365
End page 378
Total pages 14
Publisher Springer Verlag
Place of publication Berlin, Germany
Publication date 2017-12
ISSN 0941-0643
Keyword(s) Radial basis function network
Dynamic decay adjustment
Pruning
Histogram
Nodes reduction
Language eng
DOI 10.1007/s00521-016-2350-4
Field of Research 0801 Artificial Intelligence And Image Processing
1702 Cognitive Science
Socio Economic Objective 0 Not Applicable
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, The Natural Computing Applications Forum
Persistent URL http://hdl.handle.net/10536/DRO/DU:30087683

Document type: Journal Article
Collection: Centre for Intelligent Systems Research
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