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Efficient VLSI Architecture for Training Radial Basis Function Networks
This paper presents a novel VLSI architecture for the training of radial basis function (RBF) networks. The architecture contains the circuits for fuzzy C-means (FCM) and the recursive Least Mean Square (LMS) operations. The FCM circuit is designed for the training of centers in the hidden layer of...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Molecular Diversity Preservation International (MDPI)
2013
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3658779/ https://ncbi.nlm.nih.gov/pubmed/23519346 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/sl30303848 |
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