Development of Stacked Long Short-Term Memory Neural Networks with Numerical Solutions for Wind Velocity Predictions
Taiwan, being located on a path in the west Pacific Ocean where typhoons often strike, is often affected by typhoons. The accompanying strong winds and torrential rains make typhoons particularly damaging in Taiwan. Therefore, we aimed to establish an accurate wind speed prediction model for future...
Saved in:
Main Author: | Chih-Chiang Wei |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Advances in Meteorology |
Online Access: | http://dx.doi.org/10.1155/2020/5462040 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Iraqi Stock Market Prediction Using Artificial Neural Network and Long Short-Term Memory
by: Sama Hayder Abdulhussein AlHakeem, et al.
Published: (2023-03-01) -
The Daily Container Volumes Prediction of Storage Yard in Port with Long Short-Term Memory Recurrent Neural Network
by: Yinping Gao, et al.
Published: (2019-01-01) -
Long Short-Term Memory Recurrent Neural Network for Predicting the Return of Rate Underframe the Fama-French 5 Factor
by: Bui Thanh Khoa, et al.
Published: (2022-01-01) -
Indonesian Government Revenue Prediction Using Long Short-Term Memory
by: Mahmud, et al.
Published: (2024-06-01) -
A Hybrid Model for Short-Term Traffic Flow Prediction Based on Variational Mode Decomposition, Wavelet Threshold Denoising, and Long Short-Term Memory Neural Network
by: Yang Yu, et al.
Published: (2021-01-01)