Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1408
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorLeung, KF-
dc.creatorLam, HK-
dc.creatorLeung, FHF-
dc.creatorTam, PKS-
dc.date.accessioned2014-12-11T08:26:24Z-
dc.date.available2014-12-11T08:26:24Z-
dc.identifier.isbn0-7803-7278-6-
dc.identifier.urihttp://hdl.handle.net/10397/1408-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2002 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.subjectComputer simulationen_US
dc.subjectDigital arithmeticen_US
dc.subjectGenetic algorithmsen_US
dc.subjectMultimedia systemsen_US
dc.subjectOptimizationen_US
dc.titleGraffiti commands interpretation for eBooks using a self-structured neural network and genetic algorithmen_US
dc.typeConference Paperen_US
dc.description.otherinformationAuthor name used in this publication: K. F. Leungen_US
dc.description.otherinformationAuthor name used in this publication: F. H. F. Leungen_US
dc.description.otherinformationAuthor name used in this publication: P. K. S. Tamen_US
dc.description.otherinformationCentre for Multimedia Signal Processing, Department of Electronic and Information Engineeringen_US
dc.description.otherinformationRefereed conference paperen_US
dcterms.abstractThis paper presents the interpretation of graffiti commands for electronic books (eBooks). A neural network will be employed to perform the graffiti interpretation. By producing a switch to each link of the neural network, the structure of the neural network can be obtained and tuned automatically by the genetic algorithm (GA) with arithmetic crossover and non-uniform mutation. Simulation results on interpreting graffiti commands for eBooks using the proposed neural network will be shown.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIJCNN'02 : proceedings of the 2002 International Joint Conference on Neural Networks : May 12-17, 2002, Honolulu, Hawaii, p. 2487-2492-
dcterms.issued2002-
dc.identifier.isiWOS:000177402800442-
dc.identifier.scopus2-s2.0-0036086679-
dc.identifier.rosgroupidr08390-
dc.description.ros2001-2002 > Academic research: refereed > Refereed conference paper-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Conference Paper
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