Modeling the City Distribution System Reliability with Bayesian Networks to Identify Influence Factors
المؤلفون المشاركون
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-10-27
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Under the increasingly uncertain economic environment, the research on the reliability of urban distribution system has great practical significance for the integration of logistics and supply chain resources.
This paper summarizes the factors that affect the city logistics distribution system.
Starting from the research of factors that influence the reliability of city distribution system, further construction of city distribution system reliability influence model is built based on Bayesian networks.
The complex problem is simplified by using the sub-Bayesian network, and an example is analyzed.
In the calculation process, we combined the traditional Bayesian algorithm and the Expectation Maximization (EM) algorithm, which made the Bayesian model able to lay a more accurate foundation.
The results show that the Bayesian network can accurately reflect the dynamic relationship among the factors affecting the reliability of urban distribution system.
Moreover, by changing the prior probability of the node of the cause, the correlation degree between the variables that affect the successful distribution can be calculated.
The results have significant practical significance on improving the quality of distribution, the level of distribution, and the efficiency of enterprises.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Hao& Zhu, Liyu& Xu, Shensi. 2016. Modeling the City Distribution System Reliability with Bayesian Networks to Identify Influence Factors. Scientific Programming،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1118359
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Hao…[et al.]. Modeling the City Distribution System Reliability with Bayesian Networks to Identify Influence Factors. Scientific Programming No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1118359
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Hao& Zhu, Liyu& Xu, Shensi. Modeling the City Distribution System Reliability with Bayesian Networks to Identify Influence Factors. Scientific Programming. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1118359
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1118359
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