![](/images/graphics-bg.png)
Estimation of Container Traffic at Seaports by Using Several Soft Computing Methods: A Case of Turkish Seaports
المؤلفون المشاركون
Gökkuş, Ümit
Yıldırım, Mehmet Sinan
Aydin, Metin Mutlu
المصدر
Discrete Dynamics in Nature and Society
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-03-07
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
Container traffic forecasting is important for the operations and the design steps of a seaport facility.
In this study, performances of the novel soft computing models were compared for the container traffic forecasting of principal Turkish seaports (Istanbul, Izmir, and Mersin seaports) with excessive container traffic.
Four forecasting models were implemented based on Artificial Neural Network with Artificial Bee Colony and Levenberg-Marquardt Algorithms (ANN-ABC and ANN-LM), Multiple Nonlinear Regression with Genetic Algorithm (MNR-GA), and Least Square Support Vector Machine (LSSVM).
Forecasts were carried out by using the past records of the gross domestic product, exports, and population of the Turkey as indicators of socioeconomic and demographic status.
Performances of the forecasting models were evaluated with several performance metrics.
Considering the testing period, the LSSVM, ANN-ABC, and ANN-LM models performed better than the MNR-GA model considering overall fitting and prediction performances of the extreme values in the testing data.
The LSSVM model was found to be more reliable compared to the ANN models.
Forecasting part of the study suggested that container traffic of the seaports will be increased up to 60%, 67%, and 95% at the 2023 for the Izmir, Mersin, and Istanbul seaports considering official growth scenarios of Turkey.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Gökkuş, Ümit& Yıldırım, Mehmet Sinan& Aydin, Metin Mutlu. 2017. Estimation of Container Traffic at Seaports by Using Several Soft Computing Methods: A Case of Turkish Seaports. Discrete Dynamics in Nature and Society،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1151278
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Gökkuş, Ümit…[et al.]. Estimation of Container Traffic at Seaports by Using Several Soft Computing Methods: A Case of Turkish Seaports. Discrete Dynamics in Nature and Society No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1151278
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Gökkuş, Ümit& Yıldırım, Mehmet Sinan& Aydin, Metin Mutlu. Estimation of Container Traffic at Seaports by Using Several Soft Computing Methods: A Case of Turkish Seaports. Discrete Dynamics in Nature and Society. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1151278
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1151278
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
![](/images/ebook-kashef.png)
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
![](/images/kashef-image.png)