Haoqi Ni

College of Engineering

Works (1)

Updated: July 5th, 2023 15:21

2018 article

An Intelligent and Hybrid Weighted Fuzzy Time Series Model Based on Empirical Mode Decomposition for Financial Markets Forecasting

Yang, R., He, J., Xu, M., Ni, H., Jones, P., & Samatova, N. (2018, January 1). Lecture Notes in Computer Science, pp. 104–118.

By: R. Yang n , J. He*, M. Xu n, H. Ni n, P. Jones n & N. Samatova*

Contributors: R. Yang n , J. He*, M. Xu n, H. Ni n, P. Jones n & N. Samatova*

author keywords: EMD; Weighted fuzzy time series; Human learning optimization algorithm; Financial markets forecasting
topics (OpenAlex): Stock Market Forecasting Methods; Energy Load and Power Forecasting; Market Dynamics and Volatility
TL;DR: A new Intelligent Hybrid Weighted Fuzzy (IHWF) time series model to improve forecasting accuracy in financial markets, which are complex nonlinear time-sensitive systems, influenced by many factors. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: June 17, 2019

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