Pattern recognition for manufacturing process variation using ensembled artificial neural network
In quality control, monitoring and diagnosis of multivariate out of control condition is essential in today’s manufacturing industries. The simplest case involves two correlated variables; for instance, monitoring value of temperature and pressure in our environment. Monitoring refers to the identif...
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| தலைமை எழà¯à®¤à¯à®¤à®¾à®³à®°à¯: | |
|---|---|
| வடிவமà¯: | Thesis |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
2015
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| பகà¯à®¤à®¿à®•à®³à¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•à®²à¯: | http://eprints.uthm.edu.my/7773/ http://eprints.uthm.edu.my/7773/1/MUHAMMAD_HAFIZZUDDIN_BIN_MD_TENI.pdf |
| கà¯à®±à®¿à®¯à¯€à®Ÿà¯à®•à®³à¯: |
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