Please use this identifier to cite or link to this item: http://hdl.handle.net/10263/3064
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPal, N R-
dc.contributor.authorPal, S-
dc.contributor.authorDas, J-
dc.contributor.authorMajumder, K-
dc.date.accessioned2012-01-24T19:54:48Z-
dc.date.available2012-01-24T19:54:48Z-
dc.date.issued2003-
dc.identifier.citationIEEE transactions on geoscience and remote sensing,V41,P2783-2791en_US
dc.identifier.urihttp://hdl.handle.net/10263/3064-
dc.language.isoenen_US
dc.subjectAtmospheric scienceen_US
dc.subjectBackpropagationen_US
dc.subjectFeature selectionen_US
dc.subjectNeural networken_US
dc.subjectSelf organizing feature mapen_US
dc.subjectTemprature forecastingen_US
dc.titleSOFM-MLP:a hybrid neural network for atmospheric temperature predictionen_US
dc.typeArticleen_US
Appears in Collections:Electronics

Files in This Item:
File Description SizeFormat 
Binder3.pdf2.3 MBAdobe PDFView/Open


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