Semiparametric ARX neural-network models with an application to forecasting inflation

IEEE Transactions on Neural Networks

Volumn 12, Issue 4, 2001, Pages 674-683

  Chen, Xiaohong ^a   Racine, Jeffrey ^b   Swanson, Norman R ^c  

^a LONDON SCHOOL OF ECONOMICS   (United Kingdom)

^b UNIVERSITY OF SOUTH FLORIDA   (United States)

^c TEXAS A AND M UNIVERSITY   (United States)

Author keywords

mixing; Conditional mean and median regression; Forecasting; Radial basis; Ridgelet networks; Root mean squared error rate; Sigmoid

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; ERRORS; FORECASTING; MATHEMATICAL MODELS; PARAMETER ESTIMATION; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS;

RIDGELET ACTIVATION FUNCTIONS; ROOT MEAN SQUARED ERROR RATE; SEMIPARAMETRIC NONLINEAR AUTOREGRESSIVE MODELS; SIGMOID ACTIVATION FUNCTIONS;

NEURAL NETWORKS;

EID: 0035392123     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.935081     Document Type: Article

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