haku: @journal_id 949 / yhteensä: 746
viite: 22 / 746
| Tekijä: | Cheng, C. S. |
| Otsikko: | A neural network approach for the analysis of control chart patterns |
| Lehti: | International Journal of Production Research
1997 : MAR, VOL. 35:3, p. 667-697 |
| Asiasana: | |
| Vapaa asiasana: | STATISTISCHE QUALITÄTSKONTROLLE |
| Kieli: | eng |
| Tiivistelmä: | Control chart pattern recognition is an important aspect of statistical process control (SPC). The presence of unnatural patterns indicates that a process is affected by assignable causes, and corrective actions should be taken. This paper describes two types of pattern recognizers based on different neural network architectures: a multilayer perception trained by back propagation and a modular neural network. Identification of unnatural patterns can greatly narrow the causes that must be investigated, and thus the diagnostic search could be reduced in length. |
SCIMA