Detail výsledku

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: Marq software s.r.o., 2000. p. 71-74. ISBN: 80-85988-44-5.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Dao Anh Minh, Ing., FEKT (FEKT)
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

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
ISBN
80-85988-44-5
Vydavatel
Marq software s.r.o.
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",
  publisher="Marq software s.r.o.",
  address="Ostrava",
  isbn="80-85988-44-5"
}
Výzkumné skupiny
Výzkumná skupina inteligentních systémů (VZ INTSYS)
Pracoviště
Fakulta informačních technologií (FIT)
Nahoru