Please use this identifier to cite or link to this item:
http://nopr.niscpr.res.in/handle/123456789/24503| Title: | Application of neural network in yarn tnanufacture |
| Authors: | Chattopadhyay, R |
| Keywords: | Artificial neural network;Principal component analysis |
| Issue Date: | Mar-2006 |
| Publisher: | NISCAIR-CSIR, India |
| IPC Code: | Int. Cl.8 D02G3/00, G06N3/00 |
| Abstract: | This paper reports a brief outline of artificial neural network (ANN) and reviews its application in yarn manufacturing process. The use of neural network in predicting process parameters from known and unknown combination of yarn properties has also been investigated. ANN has been found to be very efficient in predicting process parameters when property combinations are taken from actual observed data. However, when the property set is arbitrary, the prediction is poor. The importance of choosing a feasible combination of input parameters has been highlighted. |
| Page(s): | 160-169 |
| ISSN: | 0975-1025 (Online); 0971-0426 (Print) |
| Appears in Collections: | IJFTR Vol.31(1) [March 2006] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| IJFTR 31(1) 160-169.pdf | 2.03 MB | Adobe PDF | View/Open |
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