Traffic flow combination forecasting method based on improved LSTM and ARIMA
نویسندگان
چکیده
منابع مشابه
Forecasting Economics and Financial Time Series: ARIMA vs. LSTM
Forecasting time series data is an important subject in economics, business, and finance. Traditionally, there are several techniques to effectively forecast the next lag of time series data such as univariate Autoregressive (AR), univariate Moving Average (MA), Simple Exponential Smoothing (SES), and more notably Autoregressive Integrated Moving Average (ARIMA) with its many variations. In par...
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ژورنال
عنوان ژورنال: International Journal of Embedded Systems
سال: 2020
ISSN: 1741-1068,1741-1076
DOI: 10.1504/ijes.2020.105287