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Therefore, control chart pattern recognition is important in SPC.
Control Chart Pattern Recognition (CCPR) is a critical task in Statistical Process Control (SPC).
This chapter proposes the application of SNN techniques to control chart pattern recognition.
This can be applied to other feature selection problems besides SPC chart pattern recognition.
It identifies each chart pattern, explains how and why each chart was formed, and where it will go next.
Although this integration may lead to many benefits, it could result in problems with control chart pattern recognition.
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Encyclopedia of chart patterns / Thomas N. Bulkowski.
"Encyclopedia of Chart Patterns represents the next step in technical analysis.
Abundant literature treats the detection of different Control Chart Patterns (CCPs).
This definitive text details over 50 chart patterns that signal whether a stock is in bullish, bearish, or neutral mode.
Accurate recognition of control chart patterns is essential for efficient system monitoring to maintain high-quality products.
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