A Hybrid Model Merging ARIMA and RNN for Enhancing Time Series Prediction
Keywords:
ARIMA, Hybridized ARIMA-RNN, MAPE, MSE, RMSE, RNN.Abstract
Time series forecasting is essential in many fields, such as climate modeling, healthcare, and finance. Because of their interpretability and efficiency in identifying linear patterns, raditional statistical models such as the Autoregressive Integrated Moving Average (ARIMA) are frequently employed. They have trouble with complex datasets' nonlinear dependencies, though.
References
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