Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/45047
DC Field | Value | |
---|---|---|
dc.title | Special-purpose ART-based identification system for statistical process control | |
dc.contributor.author | Hwarng, H.Brian | |
dc.date.accessioned | 2013-10-10T04:41:00Z | |
dc.date.available | 2013-10-10T04:41:00Z | |
dc.date.issued | 1995 | |
dc.identifier.citation | Hwarng, H.Brian (1995). Special-purpose ART-based identification system for statistical process control. Intelligent Engineering Systems Through Artificial Neural Networks 5 : 949-954. ScholarBank@NUS Repository. | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/45047 | |
dc.description.abstract | Although general-purpose pattern identification systems (PIS) have been shown to be useful in identifying a variety of nonrandom patterns, it was achieved at the price of losing the ability to identify certain details in individual pattern classes. In this paper, a special-purpose ART-based PIS for quality control charts used in statistical process control (SPC) is presented. The special-purpose system is proposed to compensate for the limitation of a general-purpose system proposed previously. The adaptive resonance theory (ART) is adopted because it enables fast and cumulative learning which is crucial for real-time, on-line applications. A prototype special-purpose PIS was developed for cyclical data which occur frequently in manufacturing environment. The performance was measured by type I and type II errors as well as by average run length. Simulation shows that the special-purpose ART-based PIS has significant improvement over the general-purpose ART-based PIS. | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | DECISION SCIENCES | |
dc.description.sourcetitle | Intelligent Engineering Systems Through Artificial Neural Networks | |
dc.description.volume | 5 | |
dc.description.page | 949-954 | |
dc.description.coden | IEANF | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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