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Title: Dynamical Systems in Description of Nonlinear Recursive Regression Transformers
Authors: Kirichenko, Mykola
Donchenko, Volodymyr
Serbaev, Denys
Keywords: Empirical Functions
Learning Samples
Beam Dynamics with Delay
Recursive Nonlinear Regressive Transformer
Generalized Inverse
Least Square Method
Issue Date: 2006
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: The task of approximation-forecasting for a function, represented by empirical data was investigated. Certain class of the functions as forecasting tools: so called RFT-transformers, – was proposed. Least Square Method and superposition are the principal composing means for the function generating. Besides, the special classes of beam dynamics with delay were introduced and investigated to get classical results regarding gradients. These results were applied to optimize the RFT-transformers. The effectiveness of the forecast was demonstrated on the empirical data from the Forex market.
ISSN: 1313-0463
Appears in Collections:Volume 13 Number 1

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