Fast sequential learning methods on RBF-network using decomposed training algorithms
This work investigates novel sequential learning methods applied on a decomposed form of training algorithms using radial basis function (RBF) network. The dynamic expansion of RBF network by adding neurons to the hidden layer during the course of training facilitates the weight update to be decompo...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2004
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| Subjects: | |
| Online Access: | http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1387663 http://eprints.utp.edu.my/4028/ |
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