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Architecture and learning algorithm of self-learning spiking neural network in fuzzy clustering task are outlined. Fuzzy receptive neurons for pulse-position transformation of input data are considered. It is proposed to treat a spiking neural networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1694::87bceb7520fe9898eb8245c6275cb6b9
https://hdl.handle.net/10525/1211
https://hdl.handle.net/10525/1211
In the paper new non-conventional growing neural network is proposed. It coincides with the Cascade- Correlation Learning Architecture structurally, but uses ortho-neurons as basic structure units, which can be adjusted using linear tuning procedures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1694::ac33ffd99fa7dd700c7080bf2e869718
https://hdl.handle.net/10525/1025
https://hdl.handle.net/10525/1025
Autor:
Bodyanskiy, Yevgeniy, Dolotov, Artem
Publikováno v:
Computer Science (1407-7493); 2009, Vol. 40, p66-74, 10p
Autor:
Bodyanskiy, Yevgeniy, Dolotov, Artem
Publikováno v:
Computer Science (1407-7493); 2008, Vol. 36, Special section p1-7, 7p