A novel hybrid RBF neural networks model as a forecaster

DOI10.1007/s11222-013-9375-7zbMath1325.62193OpenAlexW1980486587WikidataQ56594465 ScholiaQ56594465MaRDI QIDQ892481

Oguz Akbilgic, M. Erdal Balaban, Hamparsum Bozdogan

Publication date: 19 November 2015

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11222-013-9375-7

zbMATH Keywords

neural networksradial basis functionsforecastingvariable selectionstock markets

Mathematics Subject Classification ID

Applications of statistics to actuarial sciences and financial mathematics (62P05) Statistical methods; risk measures (91G70) Economic time series analysis (91B84) Computational methods for problems pertaining to game theory, economics, and finance (91-08)

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Cites Work

• Akaike's information criterion and recent developments in information complexity
• Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks
• Ridge regression:some simulations
• Real-Parameter Evolutionary Monte Carlo With Applications to Bayesian Mixture Models
• Stochastic Optimization: A Review
• Finding Near-Optimal Bayesian Experimental Designs via Genetic Algorithms
• On Information and Sufficiency
• Maximum Likelihood Estimation of Misspecified Models
• Introduction to evolutionary computing
• Radial basis function networks 1. Recent developments in theory and applications
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