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Long-Term Precipitation Analysis and Estimation of Precipitation Concentration Index Using Three Support Vector Machine Methods
المؤلفون المشاركون
Gocic, Milan
Razak, Zaidi
Petković, Dalibor
Ch, Sudheer
Trajkovic, Slavisa
Shamshirband, Shahaboddin
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-04-30
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
The monthly precipitation data from 29 stations in Serbia during the period of 1946–2012 were considered.
Precipitation trends were calculated using linear regression method.
Three CLINO periods (1961–1990, 1971–2000, and 1981–2010) in three subregions were analysed.
The CLINO 1981–2010 period had a significant increasing trend.
Spatial pattern of the precipitation concentration index (PCI) was presented.
For the purpose of PCI prediction, three Support Vector Machine (SVM) models, namely, SVM coupled with the discrete wavelet transform (SVM-Wavelet), the firefly algorithm (SVM-FFA), and using the radial basis function (SVM-RBF), were developed and used.
The estimation and prediction results of these models were compared with each other using three statistical indicators, that is, root mean square error, coefficient of determination, and coefficient of efficiency.
The experimental results showed that an improvement in predictive accuracy and capability of generalization can be achieved by the SVM-Wavelet approach.
Moreover, the results indicated the proposed SVM-Wavelet model can adequately predict the PCI.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Gocic, Milan& Shamshirband, Shahaboddin& Razak, Zaidi& Petković, Dalibor& Ch, Sudheer& Trajkovic, Slavisa. 2016. Long-Term Precipitation Analysis and Estimation of Precipitation Concentration Index Using Three Support Vector Machine Methods. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1095648
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Gocic, Milan…[et al.]. Long-Term Precipitation Analysis and Estimation of Precipitation Concentration Index Using Three Support Vector Machine Methods. Advances in Meteorology No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1095648
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Gocic, Milan& Shamshirband, Shahaboddin& Razak, Zaidi& Petković, Dalibor& Ch, Sudheer& Trajkovic, Slavisa. Long-Term Precipitation Analysis and Estimation of Precipitation Concentration Index Using Three Support Vector Machine Methods. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1095648
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1095648
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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