Multi-state analysis functional models using Bayesian networks
Multilevel Flow Modeling (MFM) model maps functionality of components in a system through logical interconnections and is effective in predicting success rates of tasks undertaken. However, the output of this model is binary, which is taken at its extrema, i.e., success and failure, while in reality...
à®®à¯à®´à¯ விளகà¯à®•à®®à¯
Saved in:
| தலைமை எழà¯à®¤à¯à®¤à®¾à®³à®°à¯à®•ளà¯: | , , , , |
|---|---|
| வடிவமà¯: | கடà¯à®Ÿà¯à®°à¯ˆ |
| மொழி: | English |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
Penerbit UTM Press
2016
|
| பகà¯à®¤à®¿à®•ளà¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•லà¯: | http://eprints.utm.my/68020/ http://eprints.utm.my/68020/ http://eprints.utm.my/68020/1/ArshadAhmad2016_MultiStateAnalysisofProcessStatus.pdf |
| கà¯à®±à®¿à®¯à¯€à®Ÿà¯à®•ளà¯: |
கà¯à®±à®¿à®šà¯à®šà¯Šà®²à¯ இணை
கà¯à®±à®¿à®¯à¯€à®Ÿà¯à®•ள௠இலà¯à®²à¯ˆ, இநà¯à®¤ கà¯à®±à®¿à®šà¯à®šà¯Šà®²à¯à®²à¯ˆ à®®à¯à®¤à®²à®¿à®²à¯ பதிவ௠செயà¯à®¯à¯à®™à¯à®•ளà¯!
|