Forecasting time series with genetic programming based on least square method

DOI10.1007/s11424-014-3295-2zbMath1294.93087OpenAlexW2039378868MaRDI QIDQ741884

Anqiang Huang, Meng Li, Jian Li, Feng-mei Yang

Publication date: 15 September 2014

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-014-3295-2

zbMATH Keywords

forecasttime seriesleast square methodgenetic programming

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Economic time series analysis (91B84) Approximation methods and heuristics in mathematical programming (90C59) Least squares and related methods for stochastic control systems (93E24)

Related Items (2)

A novel hybrid FA-based LSSVR learning paradigm for hydropower consumption forecasting ⋮ Time-series event-based prediction: an unsupervised learning framework based on genetic programming

Cites Work

• A wavelet approach for factor-augmented forecasting
• Unnamed Item
• Unnamed Item

This page was built for publication: Forecasting time series with genetic programming based on least square method