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dc.contributor.authorHSU, KYen_US
dc.contributor.authorCHENG, CJen_US
dc.contributor.authorHSIEH, TCen_US
dc.date.accessioned2014-12-08T15:04:03Z-
dc.date.available2014-12-08T15:04:03Z-
dc.date.issued1994-04-01en_US
dc.identifier.issn0021-4922en_US
dc.identifier.urihttp://dx.doi.org/10.1143/JJAP.33.1910en_US
dc.identifier.urihttp://hdl.handle.net/11536/2549-
dc.description.abstractA novel technique for pattern classification is proposed and demonstrated. The perceptron learning algorithm is used for training, and the trained interconnection weight matrix is transferred into a computer-generated hologram. The hologram is used as a correlation filter in the optical system for pattern classification. Both computer simulation and optical experiment results are presented.en_US
dc.language.isoen_USen_US
dc.subjectOPTICAL PATTERN CLASSIFICATIONen_US
dc.subjectPERCEPTRON LEARNING ALGORITHMen_US
dc.subjectCOMPUTER-GENERATED HOLOGRAMen_US
dc.titleTRAINABLE PATTERN CLASSIFIER USING A COMPUTER-GENERATED HOLOGRAMen_US
dc.typeArticleen_US
dc.identifier.doi10.1143/JJAP.33.1910en_US
dc.identifier.journalJAPANESE JOURNAL OF APPLIED PHYSICS PART 1-REGULAR PAPERS SHORT NOTES & REVIEW PAPERSen_US
dc.citation.volume33en_US
dc.citation.issue4Aen_US
dc.citation.spage1910en_US
dc.citation.epage1913en_US
dc.contributor.department電子物理學系zh_TW
dc.contributor.department光電工程學系zh_TW
dc.contributor.departmentDepartment of Electrophysicsen_US
dc.contributor.departmentDepartment of Photonicsen_US
dc.identifier.wosnumberWOS:A1994NR95600039-
dc.citation.woscount0-
Appears in Collections:Articles


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