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: | Yu, Ching-Hsiang, 游景翔 |
---|---|
Other Authors: | 周珮婷 |
Format: | Others |
Language: | zh-TW |
Published: |
2018
|
Online Access: | http://ndltd.ncl.edu.tw/handle/s8c6c2 |
Similar Items
-
Semi-Supervised Learning for Text Data Using Generative Models
by: Chih-hsiang Tseng, et al.
Published: (2005) -
Hybrid Plagiarism Detection in Computer Programs
by: Ching-Hsiang Yu, et al.
Published: (2007) -
An Efficient Parallel Apriori Algorithm Based on Spark Computing Framework
by: YU, CHING-HSIANG, et al.
Published: (2017) -
Strain effect to cylindrical quantum dot
by: Ching Hsiang Yu, et al.
Published: (2003) -
Mergers and Productivity: Evidence form Taiwanese Firms
by: Ching-Hsiang Yu, et al.
Published: (2003)