Please use this identifier to cite or link to this item:
http://nopr.niscpr.res.in/handle/123456789/24596| Title: | Classifying fibre attributes of cotton using Kohonen neural networks |
| Authors: | Shanmugam, N Doke, S S |
| Keywords: | Kohonen neural network;Cotton;Highest standard count |
| Issue Date: | Dec-2006 |
| Publisher: | NISCAIR-CSIR, India |
| IPC Code: | Int. Cl.8 G06N3/02 |
| Abstract: | Kohonen 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. |
| Page(s): | 583-587 |
| ISSN: | 0975-1025 (Online); 0971-0426 (Print) |
| Appears in Collections: | IJFTR Vol.31(4) [December 2006] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| IJFTR 31(4) 583-587.pdf | 3.17 MB | Adobe PDF | View/Open |
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