Job remaining cycle time estimation with a post-classifying fuzzy-neural approach in a wafer fabrication plant: A simulation study
作者： T Chen
关键词: Engineering 、 Artificial intelligence 、 Production (economics) 、 Artificial neural network 、 Task (computing) 、 Wafer fabrication 、 Test data 、 Data mining 、 Backpropagation 、 Fuzzy logic 、 Fuzzy control system
摘要: AbstractA post-classifying fuzzy-neural approach is proposed in this study for estimating the remaining cycle time of each job a wafer fabrication plant, which has seldom been investigated past studies but critical task plant. In methodology proposed, fuzzy back-propagation network (FBPN) estimation modified with proportional adjustment to estimate instead. Besides, unlike existing approaches, not preclassified rather post-classified after error generated. For purpose, used as post-classification algorithm. To evaluate effectiveness production simulation generate some test data. According experimental results, accuracy could be improved by up 64 per cent p...
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nctu.edu.tw参考文章(10)
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