Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks
The paper presents a two-level learning method for radial basis function (RBF) networks. A regularized orthogonal least squares (ROLS) algorithm is employed at the lower level to construct RBF networks while the two key learning parameters, the regularization parameter and the RBF width, are optimiz...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
1999-09.
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| Subjects: | |
| Online Access: | Get fulltext |