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Estimating the yield curve using calibrated radial basis function networksHAN, Gyusik; LEE, Daewon; LEE, Jaewook et al.Lecture notes in computer science. 2005, issn 0302-9743, isbn 3-540-25912-0, 3Vol, Part2, 885-890Conference Paper

RBF neural networks and Descartes' rule of signsSCHMITT, Michael.Lecture notes in computer science. 2002, pp 321-335, issn 0302-9743, isbn 3-540-00170-0, 15 p.Conference Paper

Improved 3D full-wave multilevel Green's function interpolation methodSHI, Y; CHAN, C. H.Electronics letters. 2011, Vol 47, Num 3, pp 174-175, issn 0013-5194, 2 p.Article

An application of pattern recognition based on optimized RBF-DDA neural networksGUOYOU LI; HUIGUANG LI; MIN DONG et al.Lecture notes in computer science. 2005, issn 0302-9743, isbn 3-540-28323-4, 3Vol, Part 1, 397-404Conference Paper

Quantitative study on effect of center selection to RBFNN classification performanceNG, Wing W. Y; YEUNG, Daniel S; CLOETE, Ian et al.International Conference on Systems, Man and Cybernetics. 2004, isbn 0-7803-8566-7, vol4, 3692-3697Conference Paper

A Bayesian regularization method for the Probabilistic RBF networkCONSTANTINOPOULOS, Constantinos; TITSIAS, Michalis K; LIKAS, Aristidis et al.Lecture notes in computer science. 2002, pp 337-345, issn 0302-9743, isbn 3-540-43472-0Conference Paper

New developments in the theory and training of reformulated radial basis neural networksKARAYIANNIS, Nicolaos B.IEEE-INNS-ENNS international joint conference on neural networks. 2000, pp Vol3.614-619, isbn 0-7695-0619-4, 6VolConference Paper

Bushing monitoring using MLP and RBFDHLAMINI, Sizwe M; MARWALA, Tshilidzi.Africon conference in Africa. 2004, isbn 0-7803-8605-1, vol 1, 613-618Conference Paper

Model selection with cross-validations and bootstraps - application to time series prediction with RBFN modelsLENDASSE, Amaury; WERTZ, Vincent; VERLEYSEN, Michel et al.Lecture notes in computer science. 2003, pp 573-580, issn 0302-9743, isbn 3-540-40408-2, 8 p.Conference Paper

Sample complexity for function learning tasks through linear neural networksHERNANDEZ-AGUIRRE, Arturo; KOUTSOUGERAS, Cris; BUCKLES, Bill P et al.Lecture notes in computer science. 2002, pp 262-271, issn 0302-9743, isbn 3-540-43475-5Conference Paper

The method of fundamental solutions for solving poisson problemsALVES, C. J. S; CHEN, C. S; SALER, B et al.International series on advances in boundary elements. 2002, pp 67-76, issn 1460-1419, isbn 1-85312-980-1, 1Vol, 10 p.Conference Paper

Sensitivity analysis for Conic Section Function Neural NetworksOZYILMAZ, Lale; YILDIRIM, Tulay.IEEE-INNS-ENNS international joint conference on neural networks. 2000, pp Vol4.244-249, isbn 0-7695-0619-4, 6VolConference Paper

Orthogonal forward selection for constructing the radial basis function network with tunable nodesSHENG CHEN; XIA HONG; HARRIS, Chris J et al.Lecture notes in computer science. 2005, issn 0302-9743, isbn 3-540-28226-2, 2Vol, part I, 777-786Conference Paper

Simultaneous approximation with neural networksDINGANKAR, Ajit T; PHATAK, Dhananjay S.IEEE-INNS-ENNS international joint conference on neural networks. 2000, pp Vol4.232-237, isbn 0-7695-0619-4, 6VolConference Paper

An effective multiscale approach for deformation analyses of carbon nanotube-based nanoswitchesGU, Y. T; TAN, A; YARLAGADDA, Prasad K. D. V et al.Proceedings of SPIE, the International Society for Optical Engineering. 2008, Vol 7269, issn 0277-786X, isbn 978-0-8194-7521-3 0-8194-7521-1, 72690I.1-72690I.9Conference Paper

Proportional integral tuning rules for adaptive neural networksROGERS, Steven C.SPIE proceedings series. 2003, pp 1-7, isbn 0-8194-4963-6, 7 p.Conference Paper

A Divergence-Free Meshless Method Based on the Vector Basis Function for Transient Electromagnetic AnalysisSHUNCHUAN YANG; ZHIZHANG CHEN; YIQIANG YU et al.IEEE transactions on microwave theory and techniques. 2014, Vol 62, Num 7, pp 1409-1416, issn 0018-9480, 8 p.Article

Phase transmittance RBF neural networksLOSS, D. V; DECASTRO, M. C. F; FRANCO, P. R. G et al.Electronics Letters. 2007, Vol 43, Num 16, pp 882-884, issn 0013-5194, 3 p.Article

Comparison of radial basis functions in evaluating the Asian optionZHAI, F; SHEN, K; KITA, E et al.WIT transactions on modelling and simulation. 2007, pp 133-140, isbn 978-1-8456-4076-7, 1Vol, 8 p.Conference Paper

Neuron selection for RBF neural network classifier based on data structure preserving criterionMAO, K. Z; HUANG, Guang-Bin.IEEE transactions on neural networks. 2005, Vol 16, Num 6, pp 1531-1540, issn 1045-9227, 10 p.Article

3D scattered data interpolation and approximation with multilevel compactly supported RBFsOHTAKE, Yutaka; BELYAEV, Alexander; SEIDEL, Hans-Peter et al.Graphical models. 2005, Vol 67, Num 3, pp 150-165, issn 1524-0703, 16 p.Conference Paper

Input-output data modelling using fully tuned RBF networks for a four degree-of-freedom tilt rotor aircraft platformCHANGJIE YU; JIHONG ZHU; JIANGUO CHE et al.Lecture notes in computer science. 2005, pp 1145-1154, issn 0302-9743, isbn 3-540-29896-7, 1Vol, 10 p.Conference Paper

Combining space-filling curves and radial basis function networksKRZYZAK, Adam; SKUBALSKA-RAFAJŁOWICZ, Ewa.Lecture notes in computer science. 2004, pp 229-234, issn 0302-9743, isbn 3-540-22123-9, 6 p.Conference Paper

An intelligent system for passport recognition using enhanced RBF networkKIML, Kwang-Baek; KIM, Young-Ju; OH, Am-Suk et al.Lecture notes in computer science. 2004, pp 762-767, issn 0302-9743, isbn 3-540-24127-2, 6 p.Conference Paper

Kernel CMAC with improved capabilityHORVATH, Gabor.International Joint Conference on Neural Networks. 2004, isbn 0-7803-8359-1, 4Vol, Vol1, 681-686Conference Paper

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