Detail publikace

Optimal Linear Neural Associative Memory Using for Pattern Association

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

DAO ANH, M.

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"
}