Applying Machine Learning Techniques to the Recognition of Mixture Control Chart Patterns for a Multiple Inputs Multiple Outputs System
碩士 === 輔仁大學 === 統計資訊學系應用統計碩士班 === 105 === Because control chart patterns (CCPs) are typically associated with specific root causes that antagonistically upset the process, the effective recognition of CCPs is crucial for process improvement. Accordingly, the research issue of recognition of CCPs has...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2017
|
Online Access: | http://ndltd.ncl.edu.tw/handle/p6r7c4 |