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- W2356092022 abstract "There are a lot of factors influencing the precision of machining, so it is difficult to establish an accurate mathematical model of dynamic loss of manufacturing accuracy. In this paper, taking an experiment system which based on the change of angle displacement as example, the precision loss model was built by applying modern mathematical methods with BP neural network and RBF neural network, and the law of the precision loss in future was predicted according to the model." @default.
- W2356092022 created "2016-06-24" @default.
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- W2356092022 date "2007-01-01" @default.
- W2356092022 modified "2023-09-28" @default.
- W2356092022 title "Neural Network Prediction of Precision Loss Experiment System" @default.
- W2356092022 hasPublicationYear "2007" @default.
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