A control chart pattern recognition system using a statistical ...
A control chart pattern recognition system using a statistical ...
A control chart pattern recognition system using a statistical ...
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J.-H. Yang, M.-S. Yang / Computers & Industrial Engineering 48 (2005) 205–221<br />
the number of neurons and layers. In this section, we use the proposed correlation coefficient method to<br />
simulate the <strong>recognition</strong> of the concurrent <strong>control</strong> <strong>chart</strong> <strong>pattern</strong>s with shift and trend, shift and cycle and<br />
trend and cycle as shown in Fig. 9. In our simulations, we use 200 testing samples for each unnatural<br />
<strong>pattern</strong> and 1000 testing samples for the normal <strong>pattern</strong>. The <strong>recognition</strong> results for different threshold h<br />
are shown in Tables 3.<br />
Fig. 8. (a) Upward shift <strong>pattern</strong> and its correlation. (b) Upward trend <strong>pattern</strong> and its correlation. (c) Cyclic <strong>pattern</strong> and its<br />
correlation. (d) Systematic <strong>pattern</strong> and its correlation.
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