Output value-based initialization for radial basis function neural networks
- 12 May 2007
- journal article
- Published by Springer Science and Business Media LLC in Neural Processing Letters
- Vol. 25 (3), 209-225
- https://doi.org/10.1007/s11063-007-9039-8
Abstract
No abstract availableKeywords
This publication has 33 references indexed in Scilit:
- Analysis of input-output clustering for determining centers of RBFNIEEE Transactions on Neural Networks, 2000
- Alternating cluster estimation: a new tool for clustering and function approximationIEEE Transactions on Fuzzy Systems, 1999
- Reformulated radial basis neural networks trained by gradient descentIEEE Transactions on Neural Networks, 1999
- A survey of fuzzy clustering algorithms for pattern recognition. IIIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 1999
- Growing radial basis neural networks: merging supervised and unsupervised learning with network growth techniquesIEEE Transactions on Neural Networks, 1997
- Approximation capability to functions of several variables, nonlinear functionals, and operators by radial basis function neural networksIEEE Transactions on Neural Networks, 1995
- On the training of radial basis function classifiersNeural Networks, 1992
- Universal Approximation Using Radial-Basis-Function NetworksNeural Computation, 1991
- Fast Learning in Networks of Locally-Tuned Processing UnitsNeural Computation, 1989
- Projection Pursuit RegressionJournal of the American Statistical Association, 1981