Change Point Determination for an Attribute Process Using an Artificial Neural Network-Based Approach
المؤلفون المشاركون
المصدر
Discrete Dynamics in Nature and Society
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-05-20
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
The change point identification has played a vital role in process improvement for an attribute process.
This identification is able to effectively help process personnel to quickly determine the corresponding root causes and significantly improve the underlying process.
Although many studies have focused on identifying the change point of a process, a generic identification approach has not been developed.
The typical maximum likelihood estimator (MLE) approach has limitations: particularly, the known prior process distribution and mathematical difficulties.
These deficiencies are commonly encountered in practice.
Accordingly, this study proposes an artificial neural network (ANN) mechanism to overcome the difficulties of typical MLE approach in determining the change point of an attribute process.
Specifically, the performance among the statistical process control (SPC) chart alone, the typical MLE approach, and the proposed ANN mechanism are investigated for the following cases: (1) a known attribute process distribution with the associated MLE being available to be used, (2) an unknown attribute process distribution with the MLE being unable to be used, and (3) an unknown attribute process distribution with the MLE being misused.
The superior results and the performance of the proposed approach are reported and discussed.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Shao, Yuehjen E.& Lin, Ke-Shan. 2015. Change Point Determination for an Attribute Process Using an Artificial Neural Network-Based Approach. Discrete Dynamics in Nature and Society،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1060805
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Shao, Yuehjen E.& Lin, Ke-Shan. Change Point Determination for an Attribute Process Using an Artificial Neural Network-Based Approach. Discrete Dynamics in Nature and Society No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1060805
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Shao, Yuehjen E.& Lin, Ke-Shan. Change Point Determination for an Attribute Process Using an Artificial Neural Network-Based Approach. Discrete Dynamics in Nature and Society. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1060805
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1060805
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر