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- W2350601311 abstract "In the pursuit of high precision in a modern CNC machining system,it is significant to eliminate thermal error.The paper first makes a brief outline of the characteristics and the training methods of neural networks.And it is successful to apply the neural network model to modeling the thermal error in the CNC machine linear feed system.The expected results is achieved that the maximum prediction error reduced to 2μm,laying a further foundation for thermal error compensation.The text describes the actual modeling process in detail.And a new method of data processing is come up with according to the specific characteristics of training data.It is an innovative point of this paper to apply the method to model training better." @default.
- W2350601311 created "2016-06-24" @default.
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- W2350601311 date "2012-01-01" @default.
- W2350601311 modified "2023-09-23" @default.
- W2350601311 title "Neural Network-based Thermal Error Modelling in Ball Screw" @default.
- W2350601311 hasPublicationYear "2012" @default.
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