Autocorrelated Control Chart Patterns Recognition Using Support Vector Machine and Self-Organizing Map
碩士 === 國立雲林科技大學 === 工業工程與管理系 === 107 === Recognizing unnatural control chart patterns is an important issue. Many scholars used the most common method which is the neural network to recognize control patterns. The neural network has supervised learning network and unsupervised learning network. Both...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/fg22gb |