Publication detail

Optimal Linear Neural Associative Memory Using for Pattern Association

DAO ANH, M.

Original Title

Optimal Linear Neural Associative Memory Using for Pattern Association

Type

article in a collection out of WoS and Scopus

Language

English

Original 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.

Keywords

associative memory, neural network, optimal linear associative memory

Authors

DAO ANH, M.

Released

1. 1. 2000

Location

Ostrava

ISBN

80-85988-44-5

Book

34th Spring International Conference Modelling and Simulation of Systems MOSIS 2000

Pages from

71

Pages to

74

Pages count

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"
}