This paper proposes a radial basis function neural network (RBFNN), called the q-Gaussian RBFNN, that reproduces different radial basis functions (RBFs) by means of a real parameter q. The architecture, weights and node topology are learnt through a hybrid algorithm (HA). In order to test the overal
✦ LIBER ✦
Generalised Gaussian radial basis function neural networks
✍ Scribed by F. Fernández-Navarro, C. Hervás-Martínez, P. A. Gutierrez
- Book ID
- 120912744
- Publisher
- Springer
- Year
- 2012
- Tongue
- English
- Weight
- 866 KB
- Volume
- 17
- Category
- Article
- ISSN
- 1432-7643
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