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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/3299
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dc.contributor.authorSille, Roohi-
dc.date.accessioned2021-04-23T11:54:06Z-
dc.date.available2021-04-23T11:54:06Z-
dc.date.issued2014-04-
dc.identifier.citationUnder the guidance of Dr Hanumat Sastiy G., Assistant Professoren_US
dc.identifier.urihttp://hdl.handle.net/123456789/3299-
dc.descriptionSubmitted in partial fulfillment for the requirement of the degree of M. Tech (Artificial Intelligence and Artificial Neural Networks)en_US
dc.language.isoenen_US
dc.publisherCentre for Information Technology, UPES, Delhien_US
dc.subjectDissertationen_US
dc.subjectInformation Technologyen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectArtificial Neural Networken_US
dc.subjectComputer Scienceen_US
dc.subjectGlaucomaen_US
dc.subjectFuzzy Inference Systemen_US
dc.subjectHybrid Neuro Fuzzy Systemen_US
dc.titleGlaucoma diagnosis using hybrid neuro-fuzzy modelen_US
dc.typeThesisen_US
Appears in Collections:Post Graduate

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