| Document Date: 2008-01-23 11:12:51
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City Editions / Bournemouth / London / / Company Neural Networks / Artificial Neural Networks / John Hopkins University Press / / Country United Kingdom / / / Facility Prentice Hall / / IndustryTerm adaptive networks / normal equation solution / signal processing applications / online system / nonlinear systems / orthogonal least squares algorithm / least squares algorithm / sub-optimal solution / online implementation / multi-output radial basis function networks / learning algorithm / radial basis function networks / forward subset selection algorithm / / Organization Oklahoma State University / / Person S. Chen / Martin T. Hagan / Ai / / Product Recursive Orthogonal Least Squares learning / / ProgrammingLanguage R / / Technology promising algorithm / The QRD-RLS algorithm / QR Decomposition Recursive Least Squares algorithm / neural network / windowing algorithm / QRD-RLS algorithm / Orthogonal least squares algorithm / OLS algorithm / ROLS-AWS algorithm / forward subset selection algorithm / simulation / Recursive Orthogonal Least Squares learning algorithm / batch OLS algorithm / /
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Recursive Orthogonal Least Squares Learning with Automatic Weight Selection for Gaussian Neural Networks Meng H. Fun, [removed], Oklahoma State University Martin T. Hagan, [removed], Oklahoma S