期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2010
卷号：10
期号：3
页码：194-199
出版社：International Journal of Computer Science and Network Security
摘要：Control charts pattern recognition is one of the most important tools in statistical process control to identify process problems. Unnatural patterns exhibited by such charts can be associated with certain assignable causes affecting the process. In this paper a study is carried out on training algorithms for CCPs recognition and the best two are identified for this problem and for those two algorithms optimal structure is identified and then both are studied for type I and type II errors for generalization without early stopping and with early stopping and the best one is proposed.
关键词：Control chart pattern recognition; neural network; backpropagation; generalization; early stopping
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