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- W3012252919 abstract "Rubber material forming is one of the most difficult and quite complicated to achieve quality of a finished good. A compression mould with many cavities is hold and heated under the specific standard process procedure and characteristics of the rubber. Traditionally, machine is controlled by experience operators with visual control and self-adjustment. However, it is very uncertain. Therefore, this paper proposes neuro fuzzy based for prediction quality of a rubber curing process on a compression machine under uncertainty circumstances. Four influence factors are input to the fuzzy inference system. After the fuzzification process, the output of finished good can be predicted." @default.
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- W3012252919 date "2020-01-01" @default.
- W3012252919 modified "2023-10-06" @default.
- W3012252919 title "Neuro fuzzy based for prediction quality of a rubber curing process on a compression machine under uncertainty circumstances" @default.
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- W3012252919 doi "https://doi.org/10.1016/j.matpr.2020.02.610" @default.
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