Detail publikace

Optimal Linear Neural Associative Memory Using for Pattern Association

DAO ANH, M. Optimal Linear Neural Associative Memory Using for Pattern Association. 34th Spring International Conference Modelling and Simulation of Systems MOSIS 2000. Ostrava: 2000. p. 71-74. ISBN: 80-85988-44-5.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Dao Anh Minh, Ing.
Klíčová slova

associative memory, neural network, optimal linear associative memory

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.

Rok
2000
Strany
71–74
Sborník
34th Spring International Conference Modelling and Simulation of Systems MOSIS 2000
Konference
34th Spring International Conference on Modeling and Simulation of Systems MOSIS 2000, Rožnov pod Radhoštěm, CZ
ISBN
80-85988-44-5
Místo
Ostrava
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"
}
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