A Novel Structure for Radial Basis Function Networks—WRBF
✍ Scribed by Hossein Khosravi
- Publisher
- Springer US
- Year
- 2011
- Tongue
- English
- Weight
- 431 KB
- Volume
- 35
- Category
- Article
- ISSN
- 1370-4621
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Selective model structure and parameter updating algorithms are introduced for both the online estimation of NARMAX models and training of radial basis function neural networks. Techniques for on-line model modification, which depend on the vector-shift properties of regression variables in linear m
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