Operational data quality evaluation based on BP neural network and rough set theory

Lijun Liu

doi:10.1117/12.2254971

28 February 2017 Operational data quality evaluation based on BP neural network and rough set theory

Lijun Liu

Proceedings Volume 10256, Second International Conference on Photonics and Optical Engineering; 102565P (2017) https://doi.org/10.1117/12.2254971
Event: Second International Conference on Photonics and Optical Engineering, 2016, Xi'an, China

Abstract

It analyzed the factors affecting the Operational Data Quality, determined the evaluation index system, set up Operational Data Quality evaluation element and evaluating network, established the six-element evaluation model. Using Rough Set theory come to realize information reduction and using BP Neural Network theory come to realize quality evaluation. This method could enhance the scientificity and objectivity of evaluation. The results showed that the evaluation method of error was small, simple and practical.

Citation Download Citation

Lijun Liu "Operational data quality evaluation based on BP neural network and rough set theory", Proc. SPIE 10256, Second International Conference on Photonics and Optical Engineering, 102565P (28 February 2017); https://doi.org/10.1117/12.2254971

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