A methodology of pattern recognition schemes for two variables in SPC
| Autor: | Wen‐Hai Chih, Dwayne A. Rollier |
|---|---|
| Rok vydání: | 1995 |
| Předmět: |
Theoretical computer science
business.industry Computer science Strategy and Management Pattern recognition computer.software_genre Blackboard (design pattern) Statistical process control General Business Management and Accounting Expert system Knowledge-based systems IBM PC compatible Kernel (statistics) Pattern recognition (psychology) Data mining Artificial intelligence Inference engine business computer |
| Zdroj: | International Journal of Quality & Reliability Management. 12:86-107 |
| ISSN: | 0265-671X |
| DOI: | 10.1108/02656719510084808 |
| Popis: | Prototype patterns and pattern diagnostic characteristics have been proposed in a previous article. Simulation results based on the prototypes and the diagnostic characteristics have also been presented as a justification for the study. Outlines a methodology, with three major components, which designates eight processors to identify the unnatural pattern. The working memory (blackboard) characterizes the symbolic structure of the transformed data and stores the intermediate results from each processor. Eight processors are the kernel of the knowledge base used to classify the pattern of the observations. The comparison of intermediate results is executed in the inference engine, which makes the preliminary decision. The implementation of the processors is coded in Turbo C and runs on an IBM PC/XT/AT or compatible PC. The results of the implementation and validation demonstrate that the methodology does a good job for two‐variable pattern recognition. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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