عنوان Comparative Evaluation of Hybrid SARIMA and Machine Learning Techniques Based on Time Varying and Decomposition of Precipitation Time Series نوع پژوهش مقاله چاپ شده کلیدواژهها Support Vector Machines, Cluster analysis, Nonlinear component, Configuration چکیده Comparative Evaluation of Hybrid SARIMA and Machine Learning Techniques Based on Time Varying and Decomposition of Precipitation Time Series پژوهشگران لاله پرویز (نفر اول)