In this paper we consider the problem of approximating functions from noisy data. We propose an incremental supervised learning algorithm for RBF networks. Hidden Gaussian nodes are added in an iterative manner during the training process. For each new node added, the activation function center and
β¦ LIBER β¦
An incremental regression method for graph structured data
β Scribed by Menita Carozza; Salvatore Rampone
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 135 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0893-6080
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