A moving-average filter based hybrid ARIMA-ANN model for forecasting time series data
By C. Narendra Babu, B. Reddy. Applied Soft Computing, 2014
465 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Environmental Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/f26739b4ccb739e94fbc7c308db01f2880704169
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In Electrical and Electronic Engineering
In Environmental Engineering
In Management Science and Operations Research
Citations in the corpus
- Restricted Boltzmann machine based stock market trend prediction (2017, methodology): “To handle the noise hidden in stock data, some researchers smooth raw data by using wavelet transform [29], [30], [31], or separate noisy data to low-volatility and highvolatility by using a moving average filter [32].”
- Forecasting energy consumption using ensemble ARIMA-ANFIS hybrid algorithm (2016, methodology): “Babu and Reddy [29] proposed a hybrid model of ARIMA and ANN based on moving-average filter model.”