Time Series Forecasting With Volatility Activation Function

Time Series Forecasting With Volatility Activation Function

Time series forecasting is the method of predicting future values of a model by reviewing its past data. Various models like traditional approaches, statistical methods, moving average, ARIMA, RNN’s, or XGBoost may also be applied. Activation functions are the primary most important hyper...

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Bibliographic Details
Main Authors: Furkan Kayim, Atinc Yilmaz
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Activation functions
artificial intelligence
deep learning
time series forecasting
Online Access:https://ieeexplore.ieee.org/document/9907003/

Internet

https://ieeexplore.ieee.org/document/9907003/

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