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DAO ANH, M.
Originální název
Optimal Linear Neural Associative Memory Using for Pattern Association
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
The paper delas with an optimal linear associative (OLAM) neural network. The network consists of two layers: input layer X and output layer Y. There is a full set of connections between input and output layers. The OLAM principle and it structure, learning an recalling algorithms and some experiments with OLAM are described in the paper.
Klíčová slova
associative memory, neural network, optimal linear associative memory
Autoři
Vydáno
1. 1. 2000
Místo
Ostrava
ISBN
80-85988-44-5
Kniha
34th Spring International Conference Modelling and Simulation of Systems MOSIS 2000
Strany od
71
Strany do
74
Strany počet
4
BibTex
@inproceedings{BUT5753, author="Minh {Dao Anh}", title="Optimal Linear Neural Associative Memory Using for Pattern Association", booktitle="34th Spring International Conference Modelling and Simulation of Systems MOSIS 2000", year="2000", pages="71--74", address="Ostrava", isbn="80-85988-44-5" }