Cover Image

An iterative incremental learning algorithm for complex-valued hopfield associative memory

This paper discusses a complex-valued Hopfield associative memory with an iterative incremental learning algorithm. The mathematical proofs derive that the weight matrix is approximated as a weight matrix by the complex-valued pseudo inverse algorithm. Furthermore, the minimum number of iteratio...

Full description

Saved in:
Bibliographic Details
Main Authors: Masuyama, N., Chu, K.L.
Format: Conference or Workshop Item
Language:English
Published: 2016
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.um.edu.my/16812/1/99500051.pdf
http://eprints.um.edu.my/16812/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.um.eprints.16812
record_format eprints
spelling my.um.eprints.168122017-01-17T07:01:17Z http://eprints.um.edu.my/16812/ An iterative incremental learning algorithm for complex-valued hopfield associative memory Masuyama, N. Chu, K.L. QA75 Electronic computers. Computer science This paper discusses a complex-valued Hopfield associative memory with an iterative incremental learning algorithm. The mathematical proofs derive that the weight matrix is approximated as a weight matrix by the complex-valued pseudo inverse algorithm. Furthermore, the minimum number of iterations for the learning sequence is defined with maintaining the network stability. From the result of simulation experiment in terms of memory capacity and noise tolerance, the proposed model has the superior ability than the model with a complexvalued pseudo inverse learning algorithm. 2016 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/16812/1/99500051.pdf Masuyama, N. and Chu, K.L. (2016) An iterative incremental learning algorithm for complex-valued hopfield associative memory. In: The 23rd International Conference on Neural Information Processing (ICONIP 2016), 17 - 21 October 2016, Kyoto, Japan.
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Masuyama, N.
Chu, K.L.
An iterative incremental learning algorithm for complex-valued hopfield associative memory
description This paper discusses a complex-valued Hopfield associative memory with an iterative incremental learning algorithm. The mathematical proofs derive that the weight matrix is approximated as a weight matrix by the complex-valued pseudo inverse algorithm. Furthermore, the minimum number of iterations for the learning sequence is defined with maintaining the network stability. From the result of simulation experiment in terms of memory capacity and noise tolerance, the proposed model has the superior ability than the model with a complexvalued pseudo inverse learning algorithm.
format Conference or Workshop Item
author Masuyama, N.
Chu, K.L.
author_facet Masuyama, N.
Chu, K.L.
author_sort Masuyama, N.
title An iterative incremental learning algorithm for complex-valued hopfield associative memory
title_short An iterative incremental learning algorithm for complex-valued hopfield associative memory
title_full An iterative incremental learning algorithm for complex-valued hopfield associative memory
title_fullStr An iterative incremental learning algorithm for complex-valued hopfield associative memory
title_full_unstemmed An iterative incremental learning algorithm for complex-valued hopfield associative memory
title_sort iterative incremental learning algorithm for complex-valued hopfield associative memory
publishDate 2016
url http://eprints.um.edu.my/16812/1/99500051.pdf
http://eprints.um.edu.my/16812/
_version_ 1643690370639331328
score 13.160551

Similar Items