Quality Control by Supervised Learning Method
碩士 === 國立政治大學 === 統計學系 === 106 === The purpose of the current study was to explore the assumptions, features, and acceptance process of acceptance sampling plan in traditional Incoming Quality Control (IQC). Four features were proposed to describe distributions of data. Supervised machine learning m...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2018
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Online Access: | http://ndltd.ncl.edu.tw/handle/s8c6c2 |