Journal
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
Volume 50, Issue 2, Pages 179-198Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/S0169-7439(99)00056-8
Keywords
radial basis function network; neuro-fuzzy systems; calibration; classification
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Different types of radial basis function networks (RBFN) training algorithms are described and compared. Advantages and drawbacks of some of these algorithms are demonstrated on simulated and real data. Interpretability of the final models is emphasized. (C) 2000 Elsevier Science B.V. All rights reserved.
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