Please use this identifier to cite or link to this item:
http://hdl.handle.net/10263/2471
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gauri, S K | - |
dc.contributor.author | Chakraborty, S | - |
dc.date.accessioned | 2011-08-10T12:52:38Z | - |
dc.date.available | 2011-08-10T12:52:38Z | - |
dc.date.issued | 2007 | - |
dc.identifier.citation | International journal of advanced manufacturing technology,V36,11,P1191-1201 | en_US |
dc.identifier.uri | http://hdl.handle.net/10263/2471 | - |
dc.language.iso | en | en_US |
dc.subject | Control chart pattern | en_US |
dc.subject | Features | en_US |
dc.subject | Pattern recognition | en_US |
dc.subject | Neural network | en_US |
dc.subject | Recognition performance | en_US |
dc.title | Improved recognition of control chart pattern using artificial neural network | en_US |
dc.type | Article | en_US |
Appears in Collections: | Statistical Quality Control |
Files in This Item:
File | Description | Size | Format | |
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Binder2.pdf | 2.05 MB | Adobe PDF | View/Open |
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