Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/23504
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dc.contributor.authorWang, Yimu-
dc.contributor.authorPeyls, Alexander-
dc.contributor.authorPan, Yun-
dc.contributor.authorCLAESEN, Luc-
dc.contributor.authorYan, Xiaolang-
dc.date.accessioned2017-04-20T14:06:50Z-
dc.date.available2017-04-20T14:06:50Z-
dc.date.issued2013-
dc.identifier.citationPark, James J. (Jong Hyuk); Kee-Yin Ng, Joseph; Jeong, Hwa-Young; Waluyo, Borgy (Ed.). Multimedia and Ubiquitous Engineering, Springer,p. 177-183-
dc.identifier.isbn9789400767379-
dc.identifier.issn1876-1100-
dc.identifier.urihttp://hdl.handle.net/1942/23504-
dc.description.abstractThis paper presents a fast version of the self-organizing map (SOM) algorithm, which simplifies the weight distance calculation, the learning rate function and the neighborhood function by removing complex computations. Simplification accelerates the training process in software simulation and is applied in the field of handwritten digit recognition. According to the evaluation results of the software prototype, a 15–20 % speed-up in the runtime is obtained compared with the conventional SOM. Furthermore, the fast SOM accelerator can recognize over 81 % of handwritten digit test samples correctly, which is slightly worse than the conventional SOM, but much better than other simplified SOM methods.-
dc.description.sponsorshipFWO - MOST-
dc.language.isoen-
dc.publisherSpringer-
dc.relation.ispartofseriesLecture Notes in Electrical Engineering-
dc.rightsSpringer-
dc.subject.otherneural network; self-organizing map; handwritten digit recognition; simplification-
dc.titleA Fast Self-Organizing Map Algorithm for Handwritten Digit Recognition-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsPark, James J. (Jong Hyuk)-
local.bibliographicCitation.authorsKee-Yin Ng, Joseph-
local.bibliographicCitation.authorsJeong, Hwa-Young-
local.bibliographicCitation.authorsWaluyo, Borgy-
local.bibliographicCitation.conferencedateMay 22-24, 2017-
local.bibliographicCitation.conferencenameThe 11th International Conference on Multimedia and Ubiquitous Engineering (MUE2017)-
local.bibliographicCitation.conferenceplaceSeoul, Korea-
dc.identifier.epage183-
dc.identifier.issue1-
dc.identifier.spage177-
dc.identifier.volume1-
local.bibliographicCitation.jcatC1-
local.publisher.placeDordrecht-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr240-
dc.identifier.doi10.1007/978-94-007-6738-6_23-
local.bibliographicCitation.btitleMultimedia and Ubiquitous Engineering-
item.fulltextWith Fulltext-
item.contributorWang, Yimu-
item.contributorPeyls, Alexander-
item.contributorPan, Yun-
item.contributorCLAESEN, Luc-
item.contributorYan, Xiaolang-
item.accessRightsRestricted Access-
item.fullcitationWang, Yimu; Peyls, Alexander; Pan, Yun; CLAESEN, Luc & Yan, Xiaolang (2013) A Fast Self-Organizing Map Algorithm for Handwritten Digit Recognition. In: Park, James J. (Jong Hyuk); Kee-Yin Ng, Joseph; Jeong, Hwa-Young; Waluyo, Borgy (Ed.). Multimedia and Ubiquitous Engineering, Springer,p. 177-183.-
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