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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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Wiley
2020-01-01
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| Серии: | Shock and Vibration |
| Online-ссылка: | http://dx.doi.org/10.1155/2020/6694732 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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