Dynamic Accuracy Loss Prediction Model Based on BPNN

Min Lan Jiang; Xiao Dong Wang; Xiu Hui He

doi:10.4028/www.scientific.net/AMR.108-111.795

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 108-111Dynamic Accuracy Loss Prediction Model Based on...

Dynamic Accuracy Loss Prediction Model Based on BPNN

Abstract:

In this paper, study the dynamic accuracy loss prediction model of measurement system, using measurement standard deviation as the systemic accuracy, the change of measurement standard deviation in different time as the systemic accuracy loss. Using BPNN build the dynamic accuracy loss prediction model about the practical measurement, model precision reach , realized real-time prediction of systemic accuracy loss , the establishment of predictive models to the system Real-time error correction and compensation to provide a theoretical basis, and that can cost-effectively improve the system of measurement accuracy.

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Periodical:

Advanced Materials Research (Volumes 108-111)

Pages:

795-798

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.108-111.795

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Online since:

May 2010

Authors:

Min Lan Jiang, Xiao Dong Wang, Xiu Hui He

Keywords:

BP Neural Network (BPNN), Dynamic Accuracy Loss Prediction Model, Measuring System

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