Reducing the complexity of an adaptive radial basis function network with a histogram algorithm
Version 2 2024-06-03, 06:45
Version 1 2017-12-01, 00:00
journal contribution
posted on 2024-06-03, 06:45 authored by PY Goh, SC Tan, WP Cheah, Chee Peng LimReducing the complexity of an adaptive radial basis function network with a histogram algorithm
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Location
Berlin, GermanyLanguage
EnglishPublication classification
C Journal article, C1 Refereed article in a scholarly journalCopyright notice
2016, The Natural Computing Applications ForumJournal
Neural Computing and ApplicationsVolume
28Season
Supplement 1Pagination
365-378ISSN
0941-0643eISSN
1433-3058Issue
S1Publisher
SPRINGERUsage metrics
Categories
Keywords
Science & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer ScienceRadial basis function networkDynamic decay adjustmentPruningHistogramNodes reductionRBF NEURAL-NETWORKREGRESSION PROBLEMSPRUNING METHODSELECTIONCLASSIFICATIONDESIGNCentre for Intelligent Systems Research4602 Artificial intelligence4611 Machine learning
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