Training Radial Basis Function Neural Networks for Classification via Class-Specific Clustering
In training radial basis function neural networks (RBFNNs), the locations of Gaussian neurons are commonly determined by clustering. Training inputs can be clustered on a fully unsupervised manner (input clustering), or some supervision can be introduced, for example, by concatenating the input vect...
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| Published in: | IEEE transaction on neural networks and learning systems Vol. 27; no. 12; pp. 2458 - 2471 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
IEEE
01.12.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects: | |
| ISSN: | 2162-237X, 2162-2388, 2162-2388 |
| Online Access: | Get full text |
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