Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ken-ichi Hotta"'
Publikováno v:
IJCNN-91-Seattle International Joint Conference on Neural Networks.
Summary form only given. The authors propose a large-scale neural network model, CombNET-II, which consists of a four-layered network with a comb structure. A vector quantizing network forms the first layer as a stem and many three-layered networks f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aae81a80bf7b2854e7165b2f1e96f116
https://doi.org/10.1109/ijcnn.1991.155522
https://doi.org/10.1109/ijcnn.1991.155522
CombNET-II is a self-growing 4 layered neural network model which has a comb structure. The first layer constitutes a stem network which quantizes an input feature vector space into several sub-spaces and the following 2-4 layers constitutes branch n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::962437a160636330b5804324918793a6
https://doi.org/10.1016/b978-0-444-89488-5.50077-4
https://doi.org/10.1016/b978-0-444-89488-5.50077-4
Conference
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