Using Mega-fuzzification Method to Improve Small Data Set Learning Accuracy for Early Flexible Manufacturing System Scheduling
博士 === 國立成功大學 === 工業與資訊管理學系碩博士班 === 93 === Many machine learning methods to improve system scheduling have been proposed in the field of artificial intelligence (AI). Most of them rely on a large amount of data having been gathered, and knowledge derived from the limited data available in the earl...
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| Format: | Others |
| Language: | en_US |
| Online Access: | http://ndltd.ncl.edu.tw/handle/36428529281971379846 |