Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1419
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.accessioned2014-12-11T08:28:11Z-
dc.date.available2014-12-11T08:28:11Z-
dc.identifier.issn0278-0046-
dc.identifier.urihttp://hdl.handle.net/10397/1419-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2007 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.subjectCantonese speech recognitionen_US
dc.subjectCombinational neural-logic systemen_US
dc.subjectNeural networken_US
dc.titleDesign and training for combinational neural-logic systemsen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationCentre for Multimedia Signal Processing, Department of Electronic and Information Engineeringen_US
dc.identifier.spage612-
dc.identifier.epage619-
dc.identifier.volume54-
dc.identifier.issue1-
dc.identifier.doi10.1109/TIE.2006.885446-
dcterms.abstractThis paper presents the combinational neural-logic system. The basic components, i.e., the neural-logic-AND, -OR, and -NOT gates, will be proposed. As different applications have different characteristics, a traditional neural network with a common structure might not handle every application well if some network connections are redundant and cause internal disturbances, which may downgrade the training and network performance. In this paper, the proposed neural-logic gates are the basic building blocks for the applications. Based on the knowledge of the application and the neural-logic design methodology, a combinational neural-logic system can be designed systematically to incorporate the characteristics of the application into the structure of the combinational neural-logic system. It will enhance the training and network performance. The parameters of the combinational neural-logic system will be trained by the genetic algorithm. To illustrate the merits of the proposed approach, the combinational neural-logic system will be realized practically to recognize Cantonese speech commands for an electronic book.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on industrial electronics, Feb. 2007, v. 54, no. 1, p. 612-619-
dcterms.isPartOfIEEE transactions on industrial electronics-
dcterms.issued2007-02-
dc.identifier.isiWOS:000244334100062-
dc.identifier.scopus2-s2.0-33947432453-
dc.identifier.eissn1557-9948-
dc.identifier.rosgroupidr33872-
dc.description.ros2006-2007 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryVoR alloweden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Combinational neural-logic systems_07.pdf286.95 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

128
Last Week
1
Last month
Citations as of Jul 14, 2024

Downloads

409
Citations as of Jul 14, 2024

SCOPUSTM   
Citations

19
Last Week
0
Last month
0
Citations as of Jul 11, 2024

WEB OF SCIENCETM
Citations

15
Last Week
0
Last month
0
Citations as of Jul 11, 2024

Google ScholarTM

Check

Altmetric


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