Application of Multi-Input Hamacher-ANFIS Ensemble Model on Stock Price Forecast

DOI10.1142/S2424922X19500049zbMath1420.62446OpenAlexW2946242995MaRDI QIDQ4968530

Fengyi Zhang, Zhigao Liao, Hong-ping Hu

Publication date: 16 July 2019

Published in: Advances in Data Science and Adaptive Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s2424922x19500049

zbMATH Keywords

ensemble learningANFISstock price forecastingmulti-input Hamacher T-norm

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics to actuarial sciences and financial mathematics (62P05)

Uses Software

• BoosTexter

Cites Work

• Unnamed Item
• Bagging predictors
• BoosTexter: A boosting-based system for text categorization
• Generalized autoregressive conditional heteroscedasticity
• Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
• Optimal Model Assessment, Selection, and Combination

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