AutoCyclic: Deep Learning Optimizer for Time Series Data Prediction

AutoCyclic: Deep Learning Optimizer for Time Series Data Prediction

Time series prediction poses a formidable challenge, marked by the inherent difficulty in capturing long-term dependencies and adapting to intricate data patterns. Existing methods, spanning statistical models and neural networks, often grapple with issues such as underfitting and overfitting. This...

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Bibliographic Details
Main Authors: Christian Arthur, Novanto Yudistira, Candra Dewi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Autocorrelation
cosine cyclic learning rate
deep transformer
optimizer
time series
variance
Online Access:https://ieeexplore.ieee.org/document/10410839/

Internet

https://ieeexplore.ieee.org/document/10410839/

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