Weighted Radial Basis Functions for improved pattern recognition and signal processing
β Scribed by Leonardo M. Reyneri
- Publisher
- Springer US
- Year
- 1995
- Tongue
- English
- Weight
- 317 KB
- Volume
- 2
- Category
- Article
- ISSN
- 1370-4621
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Performance and robustness of a newly proposed approach (based on the Radial Basis Function and PLS2) in the non-linear pattern recognition problem is studied and compared with those of Radial Basis Function Network (RBFN) and multilayer feed-forward network (MLP). An example concerns classification
Efficient interference cancellation often requires nonlinear processing of a reference signal. In this paper, hyper radial basis function (HRBF) neural networks for adaptive interference cancellation is developed. We show that the HRBF networks, with an appropriate learning algorithm, is able to app