Research on Quality Anomaly Recognition Method Based on Optimized Probabilistic Neural Network
Aiming at the problems of the lack of abnormal instances and the lag of quality anomaly discovery in quality database, this paper proposed the method of recognizing quality anomaly from the quality control chart data by probabilistic neural network (PNN) optimized by improved genetic algorithm, whic...
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| Main Authors: | Li-li Li, Kun Chen, Jian-min Gao, Hui Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2020/6694732 |
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