A novel architecture for capturing discrete sequences using self-organizing maps

Manjusri Ishwara, Jayantha Rajapakse, Damminda Alahakoon

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Abstract

This paper, proposes a layered approach to capture discrete sequences by exploiting the best matching unit (BMU) selection process of the self-organizing map (SOM) to generate a finite state machine (FSM). The FSM is used with thresholding to identify prominent subsequences available in input data.
Original languageEnglish
Title of host publicationNeural Information Processing: 21st International Conference (ICONIP 2014)
Subtitle of host publicationKuching, Malaysia, November 3-6, 2014, Proceedings, Part I
EditorsChu Kiong Loo, Keem Siah Yap, Kok Wai Wong, Andrew Teoh, Kaizhu Huang
Place of PublicationCham, Switzerland
PublisherSpringer
Pages551-558
Number of pages8
ISBN (Print)9783319126364
DOIs
Publication statusPublished - 2014
EventInternational Conference on Neural Information Processing 2014 - Kuching, Malaysia
Duration: 3 Nov 20146 Nov 2014
Conference number: 21st
https://link.springer.com/book/10.1007/978-3-319-12637-1

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume8834
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Neural Information Processing 2014
Abbreviated titleICONIP 2014
Country/TerritoryMalaysia
CityKuching
Period3/11/146/11/14
Internet address

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