Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/24596
Full metadata record
DC FieldValueLanguage
dc.contributor.authorShanmugam, N-
dc.contributor.authorDoke, S S-
dc.date.accessioned2013-12-09T09:36:55Z-
dc.date.available2013-12-09T09:36:55Z-
dc.date.issued2006-12-
dc.identifier.issn0975-1025 (Online); 0971-0426 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/24596-
dc.description583-587en_US
dc.description.abstractKohonen neural network has been used to classify cotton fibre characteristics, viz. 2.5% span length, bundle strength, short fibre index, uniformity ratio and elongation. Twenty three cottons studied are classified into 3 groups and each group is given range of values for each property. Except fibre elongation, the other properties have distinct range of values for each group. The developed model is found to have a classification rate of 100%, when validation is done for 4 cottons.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.relation.ispartofseriesInt. Cl.8 G06N3/02en_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJFTR Vol.31(4) [December 2006]en_US
dc.subjectKohonen neural networken_US
dc.subjectCottonen_US
dc.subjectHighest standard counten_US
dc.titleClassifying fibre attributes of cotton using Kohonen neural networksen_US
dc.typeArticleen_US
Appears in Collections:IJFTR Vol.31(4) [December 2006]

Files in This Item:
File Description SizeFormat 
IJFTR 31(4) 583-587.pdf3.17 MBAdobe PDFView/Open


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