This article presents a new family of reformulated radial basis function (RBF) neural networks that employ adjustable weighted norms to measure the distance between the training vectors and the centers of the radial basis functions. The reformulated RBF model introduced in this article incorporates
Integrated diagnosis using information-gain-weighted radial basis function neural networks
β Scribed by Yubao Chen; Xiao Li; Elsayed Orady
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 758 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0360-8352
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