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- W2012303922 abstract "Twin-turbo hydraulic torque converter's performance testing is very important in the product's development and production. According to the needs of data processing and analysis in performance testing, A neural-fuzzy algorithm was used to analyze the test data in this paper. It can improve computing speed and programming capability, decrease artificial involved times, realize the data analysis processing's automation. The application shows that the digital information's relationship can be expressed very well by this method. At the same time, this method has high degree of accuracy and quick speed on data recognition and can satisfy the requirement of designing." @default.
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- W2012303922 date "2011-01-01" @default.
- W2012303922 modified "2023-10-16" @default.
- W2012303922 title "Application of Neural-Fuzzy System in Twin-Turbo Hydraulic Torque Converter's Performance Testing" @default.
- W2012303922 cites W21427492 @default.
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- W2012303922 doi "https://doi.org/10.1016/j.proeng.2011.08.237" @default.
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