This paper introduces a new class of sign-based training algorithms for neural networks that combine the sign-based updates of the Rprop algorithm with the composite nonlinear Jacobi method. The theoretical foundations of the class are described and a heuristic Rprop-based Jacobi algorithm is empiri
β¦ LIBER β¦
Filter-based models for pattern classification
β Scribed by Terry M. Caelli; Walter F. Bischof; Zhi-Qiang Liu
- Publisher
- Elsevier Science
- Year
- 1988
- Tongue
- English
- Weight
- 732 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0031-3203
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