Auto-associative memory by universal learning networks (ULNs)

K. Shibuta, K. Hirasawa, Takayuki Furuzuki, J. Murata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a new auto correlation associative memory using universal learning networks (ULNs). The main purpose of this paper is to realize associative memory by training the network. Although so many useful models have been devised, there are some problems related to associative memory, such as the limitation of storage capacity or too small attractors of stored memories. To solve these problems, we obtain memory network by training network parameters not by calculating them in the conventional methods. Furthermore, we introduce "don't care nodes" into the networks just to enlarge network size and give more flexibility. We could verify that this method improves the memory capacity by computer simulations.

Original languageEnglish
Title of host publicationICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages388-392
Number of pages5
Volume1
ISBN (Print)9810475241, 9789810475246
DOIs
Publication statusPublished - 2002
Externally publishedYes
Event9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore
Duration: 2002 Nov 182002 Nov 22

Other

Other9th International Conference on Neural Information Processing, ICONIP 2002
CountrySingapore
CitySingapore
Period02/11/1802/11/22

Fingerprint

Data storage equipment
Autocorrelation
Computer simulation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

Cite this

Shibuta, K., Hirasawa, K., Furuzuki, T., & Murata, J. (2002). Auto-associative memory by universal learning networks (ULNs). In ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age (Vol. 1, pp. 388-392). [1202199] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICONIP.2002.1202199

Auto-associative memory by universal learning networks (ULNs). / Shibuta, K.; Hirasawa, K.; Furuzuki, Takayuki; Murata, J.

ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. Vol. 1 Institute of Electrical and Electronics Engineers Inc., 2002. p. 388-392 1202199.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shibuta, K, Hirasawa, K, Furuzuki, T & Murata, J 2002, Auto-associative memory by universal learning networks (ULNs). in ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. vol. 1, 1202199, Institute of Electrical and Electronics Engineers Inc., pp. 388-392, 9th International Conference on Neural Information Processing, ICONIP 2002, Singapore, Singapore, 02/11/18. https://doi.org/10.1109/ICONIP.2002.1202199
Shibuta K, Hirasawa K, Furuzuki T, Murata J. Auto-associative memory by universal learning networks (ULNs). In ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. Vol. 1. Institute of Electrical and Electronics Engineers Inc. 2002. p. 388-392. 1202199 https://doi.org/10.1109/ICONIP.2002.1202199
Shibuta, K. ; Hirasawa, K. ; Furuzuki, Takayuki ; Murata, J. / Auto-associative memory by universal learning networks (ULNs). ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. Vol. 1 Institute of Electrical and Electronics Engineers Inc., 2002. pp. 388-392
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