http://www.cnr.it/ontology/cnr/individuo/prodotto/ID263609
Sequential learning of two-layer networks with the incomplete upstart algorithm (Contributo in atti di convegno)
- Type
- Label
- Sequential learning of two-layer networks with the incomplete upstart algorithm (Contributo in atti di convegno) (literal)
- Anno
- 1992-01-01T00:00:00+01:00 (literal)
- Alternative label
M. Muselli (1992)
Sequential learning of two-layer networks with the incomplete upstart algorithm
in 1992 International Conference on Artificial Neural Networks (ICANN 92), Brighton, UK, 4-7 September 1992
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Artificial Neural Networks, 2 (literal)
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- M. Muselli: CNR-IEIIT, Genova, Italy (literal)
- Titolo
- Sequential learning of two-layer networks with the incomplete upstart algorithm (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- I. Aleksander and J. Taylor (literal)
- Abstract
- A new procedure for the sequential learning of two layer perceptrons is presented. It improves the classical method by preventing exponential growth of output weights in most cases. Single hidden units are trained by the incomplete upstart algorithm, a new promising technique which reduces the computational effort. (literal)
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