Forecasting of Busy Telephone Traffic Based on Wavelet Transform and ARIMA-LSSVM
نویسندگان
چکیده
منابع مشابه
Forecasting of Busy Telephone Traffic Based on Wavelet Transform and ARIMA-LSSVM
In order to improve the prediction accuracy of busy telephone traffic which is influenced by multiple factors, this paper proposes a combined forecasting model which takes the influence of multiple factors into consideration and combines three models ——wavelet transform, autoregressive integrated moving average (ARIMA) model and least squares support vector machines (LSSVM) model, LSSVM is opti...
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ژورنال
عنوان ژورنال: International Journal of Smart Home
سال: 2014
ISSN: 1975-4094,1975-4094
DOI: 10.14257/ijsh.2014.8.4.11