A new sequential learning algorithm for RBF neural networks
✍ Scribed by Ge Yang; Jianhong Lü; Zhiyuan Liu
- Book ID
- 111784464
- Publisher
- SP Science China Press
- Year
- 2004
- Tongue
- English
- Weight
- 178 KB
- Volume
- 47
- Category
- Article
- ISSN
- 1006-9321
- DOI
- 10.1360/03ye0498
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
This article presents a new learning algorithm for the construction and training of a RBF neural network. The algorithm is based on a global mechanism of parameter learning using a maximum likelihood classification approach. The resulting neurons in the RBF network partitions a multidimensional patt
We present a cellular type oscillatory neural network for temporal segregation of stationary input patterns. The model comprises an array of locally connected neural oscillators with connections limited to a 4-connected neighborhood. The architecture is reminiscent of the wellknown cellular neural n