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|Title:||Orthogonal least-squares learning algorithm with local adaptation process for the radial basis function networks||Authors:||Chng, E.-S.
|Issue Date:||1996||Citation:||Chng, E.-S., Yang, H.H., Bös, S. (1996). Orthogonal least-squares learning algorithm with local adaptation process for the radial basis function networks. IEEE Signal Processing Letters 3 (8) : 253-255. ScholarBank@NUS Repository. https://doi.org/10.1109/97.511811||Abstract:||In this letter, we introduce a local adaptation process in the orthogonal least squares (OLS) learning algorithm for the selection of radial basis function (RBF) networks. Using simulation results, we show that the proposed algorithm can find significantly better subset models than the OLS algorithm.||Source Title:||IEEE Signal Processing Letters||URI:||http://scholarbank.nus.edu.sg/handle/10635/132759||ISSN:||10709908||DOI:||10.1109/97.511811|
|Appears in Collections:||Staff Publications|
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