Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/2557
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dc.contributor.authorDhar, V. K-
dc.contributor.authorTickoo, A. K-
dc.contributor.authorKaul, M. K-
dc.contributor.authorKaul, C. L-
dc.contributor.authorRannot, R. C-
dc.contributor.authorYadav, K. K-
dc.contributor.authorDubey, B. P-
dc.contributor.authorKoul, R-
dc.date.accessioned2008-06-30T12:21:11Z-
dc.date.available2008-06-30T12:21:11Z-
dc.date.issued2003-
dc.identifier.citationBASI, Vol. 31, No. 3&4, pp. 495 - 496en
dc.identifier.urihttp://hdl.handle.net/2248/2557-
dc.description.abstractA novel image-cleaning method, based on the utilization of Artificial Neural Network (ANN) is shown here to `correctly' select more pixels in a Cerenkov image than in the conventional approach.en
dc.format.extent284727 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherAstronomical Society of Indiaen
dc.relation.urihttp://adsabs.harvard.edu/abs/2003BASI...31..495Den
dc.subjectAtmospheric cerenkov image cleaningen
dc.subjectArtificial neural neten
dc.titleArtificial Neural Network-based Image-cleaning Method for Atmospheric Cerenkov Imaging Telescopesen
dc.typeArticleen
Appears in Collections:BASI Publications

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