Publication Details

Optimal Linear Neural Associative Memory Using for Pattern Association

DAO anh Minh. Optimal Linear Neural Associative Memory Using for Pattern Association. In: 34th Spring International Conference Modelling and Simulation of Systems MOSIS 2000. Ostrava, 2000, pp. 71-74. ISBN 80-85988-44-5.
Type
conference paper
Language
english
Authors
Dao anh Minh, Ing. (DCSE FEECS BUT)
Keywords

associative memory, neural network, optimal linear associative memory

Abstract

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.

Annotation

The paper proposes an optimal linear associative memory as neural network. The network structure, learning ang recalling algorithm are described here.

Published
2000
Pages
71-74
Proceedings
34th Spring International Conference Modelling and Simulation of Systems MOSIS 2000
Conference
34th Spring International Conference on Modeling and Simulation of Systems MOSIS 2000, Rožnov pod Radhoštěm, CZ
ISBN
80-85988-44-5
Place
Ostrava, CZ
BibTeX 
@INPROCEEDINGS{FITPUB6824,
   author = "Minh anh Dao",
   title = "Optimal Linear Neural Associative Memory Using for Pattern Association",
   pages = "71--74",
   booktitle = "34th Spring International Conference Modelling and Simulation of Systems MOSIS 2000",
   year = 2000,
   location = "Ostrava, CZ",
   ISBN = "80-85988-44-5",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/6824"
}
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