Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1420
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorLam, HK-
dc.creatorLeung, FHF-
dc.date.accessioned2014-12-11T08:24:43Z-
dc.date.available2014-12-11T08:24:43Z-
dc.identifier.issn1083-4419-
dc.identifier.urihttp://hdl.handle.net/10397/1420-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_US
dc.rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.subjectDigit and command interpretationen_US
dc.subjectElectronic booken_US
dc.subjectGenetic algorithmen_US
dc.subjectNeural networksen_US
dc.titleDigit and command interpretation for electronic book using neural network and genetic algorithmen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationCentre for Multimedia Signal Processing, Department of Electronic and Information Engineeringen_US
dc.identifier.spage2273-
dc.identifier.epage2283-
dc.identifier.volume34-
dc.identifier.issue6-
dc.identifier.doi10.1109/TSMCB.2004.834432-
dcterms.abstractThis paper presents the interpretation of digits and commands using a modified neural network and the genetic algorithm. The modified neural network exhibits a node-to-node relationship which enhances its learning and generalization abilities. A digit-and-command interpreter constructed by the modified neural networks is proposed to recognize handwritten digits and commands. A genetic algorithm is employed to train the parameters of the modified neural networks of the digit-and-command interpreter. The proposed digit-and-command interpreter is successfully realized in an electronic book. Simulation and experimental results will be presented to show the applicability and merits of the proposed approach.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on systems, man, and cybernetics. Part B, Cybernetics, Dec. 2004, v. 34, no. 6, p. 2273-2283-
dcterms.isPartOfIEEE transactions on systems, man, and cybernetics. Part B, Cybernetics-
dcterms.issued2004-12-
dc.identifier.isiWOS:000225172500004-
dc.identifier.scopus2-s2.0-10044234255-
dc.identifier.rosgroupidr21388-
dc.description.ros2004-2005 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Digit and command interpretation_04.pdf871.63 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

88
Last Week
0
Last month
Citations as of Jun 26, 2022

Downloads

131
Citations as of Jun 26, 2022

SCOPUSTM   
Citations

10
Last Week
0
Last month
0
Citations as of Jun 30, 2022

WEB OF SCIENCETM
Citations

9
Last Week
0
Last month
0
Citations as of Jun 30, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.