Based on the CAM Error Prediction Research of BP Neural Network

Abstract:

The double channel function of Siemens 840d numerical control system collected the input data needed by BP neural network model. Combined with detection lift error in actual process of machining CAM, the detecting lift error is predicted with using of BP neural network model designed by the neural network toolbox and the train of neural network. The test results of this method are proved to achieve the predicted effect, which means that can be used in the CAM processing lift error prediction.

• Periodical: Advanced Materials Research (Volumes 472-475)
• Pages: 437-441
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.472-475.437
• Online since: February 2012
• Authors: Guan Wei Jia, Qiu Shi Han, Qi Guang Li, Bao Ying Peng
• Keywords: BP Neural Network (BPNN), Cam Lift Error of Prediction

References

[1] Defeng Zhang etc., matlab neural network application design, mechanical industry Press, Beijing, 2008. Reference to a book:

[2] ZhiShi Zhong, neural networks, Higher Education Press, Beijing,(2009)

[3] Guangwen Zhou, Jianliang Dong, Liangliang Chen, East Tenth mapping Academic Exchange Conference Proceedings, 2007,07

[4] Xiaoping Gu, etc. , the ecological environment,2004,04:524-527

[5] Kaili Zhou, Yaohong Kang, neural network models and MATLAB simulation program design, Tsinghua University Press, Beijing, 2005.7