Computational intelligence-based time series forecasting
Time series forecasting is a crucial area of data science that is essential for decision-making across multiple domains such as transportation, finance, meteorology, and energy management. Computational Intelligence (CI) provides a flexible approach to solve forecasting tasks that is not limited to...
Saved in:
Main Author: | Du, Liang |
---|---|
Other Authors: | Wang Zhiwei |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/166596 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Improving time series forecasting performance with deep learning techniques
by: Zhang, Kanghao
Published: (2021) -
Pattern recognition and forecasting from multiple financial time series data and news
by: Yee Aung, Su Wai
Published: (2021) -
Software development of pattern recognition and forecasting on financial time series data and news
by: Huang, YuHang
Published: (2022) -
Ensemble time series forecasting with applications in power systems and financial markets
by: Qiu, Xueheng
Published: (2018) -
Development of finite memory neural fuzzy networks for lag-free improved time series forecasting
by: Subhrajit Samanta
Published: (2021)