Hyperparameter tuning of deep neural network in time series forecasting
Deep Artificial Neural Network (DANN) is a type of Artificial Neural Network (ANN) with multiple hidden layers, making them a 'deep' form of ANN. Since ANN is a type of Deep Neural Network (DNN), DANNs fall under the broader DNN category and are widely used in time series forecasting. The...
Saved in:
Main Authors: | Xiang, Kelly Pang Li, Syafrina, Abdul Halim, Nur Haizum, Abd Rahman |
---|---|
Format: | Article |
Language: | English |
Published: |
UPM
2024
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/42505/1/2024%20Hyperparameter%20Tuning%20of%20Deep%20Neural%20Network%20in%20Time%20Series%20Forecasting.pdf http://umpir.ump.edu.my/id/eprint/42505/ https://myjms.mohe.gov.my/index.php/dismath/article/view/27587 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Artificial neural networks and fuzzy time series forecasting: an application to air quality
by: Abd. Rahman, Nur Haizum, et al.
Published: (2015) -
Hyperparameter Optimization of Evolving Spiking Neural Network for Time-Series Classification
by: Ibad, T., et al.
Published: (2022) -
Activation functions performance in multilayer perceptron for time series forecasting
by: Nur Haizum, Abd Rahman, et al.
Published: (2024) -
Deep learning neural network for time series water level forecasting
by: Zaini N., et al.
Published: (2023) -
Time series forecasting of airline passenger no-shows using fir neural network
by: Muhammad Hussein, Muhammad Zaly Shah
Published: (2002)