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Numerical solution of elliptic partial differential equation using radial basis function neural networksLI JIANYU; LUO SIWEI; QI YINGJIAN et al.Neural networks. 2003, Vol 16, Num 5-6, pp 729-734, issn 0893-6080, 6 p.Conference Paper

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Using radial basis functions to approximate battery differential capacity and differential voltageCHRISTOPHERSEN, Jon P; SHAW, Steven R.Journal of power sources (Print). 2010, Vol 195, Num 4, pp 1225-1234, issn 0378-7753, 10 p.Article

Improved numerical solver for Kansa's method based on affine space decompositionLING, L; HON, Y. C.Engineering analysis with boundary elements. 2005, Vol 29, Num 12, pp 1077-1085, issn 0955-7997, 9 p.Article

Development of an efficient hybrid model for range sidelobe suppression in pulse compression radarBAGHEL, V; PANDA, G.Aerospace science and technology (Imprimé). 2013, Vol 27, Num 1, pp 156-162, issn 1270-9638, 7 p.Article

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A radial basis function neural network based approach for the electrical characteristics estimation of a photovoltaic moduleBONANNO, F; CAPIZZI, G; GRADITI, G et al.Applied energy. 2012, Vol 97, pp 956-961, issn 0306-2619, 6 p.Conference Paper

Determination of the optimal tilt angle and orientation for solar photovoltaic arraysMEHLERI, E. D; ZERVAS, P. L; SARIMVEIS, H et al.Renewable energy. 2010, Vol 35, Num 11, pp 2468-2475, issn 0960-1481, 8 p.Article

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

A study on the use of imputation methods for experimentation with Radial Basis Function Network classifiers handling missing attribute values: The good synergy between RBFNs and EventCovering methodLUENGO, Julián; GARCIA, Salvador; HERRERA, Francisco et al.Neural networks. 2010, Vol 23, Num 3, pp 406-418, issn 0893-6080, 13 p.Article

Two approaches to solving pseudodifferential equations on spheres using zonal kernelsMORTON, Tanya M.Engineering analysis with boundary elements. 2004, Vol 28, Num 10, pp 1227-1232, issn 0955-7997, 6 p.Article

Gaussian radial basis functions and the approximation of input-output mapsSANDBERG, Irwin W.International journal of circuit theory and applications. 2003, Vol 31, Num 5, pp 443-452, issn 0098-9886, 10 p.Article

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The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological dataBEHRANG, M. A; ASSAREH, E; GHANBARZADEH, A et al.Solar energy. 2010, Vol 84, Num 8, pp 1468-1480, issn 0038-092X, 13 p.Article

A random variable shape parameter strategy for radial basis function approximation methodsSARRA, Scott A; STURGILL, Derek.Engineering analysis with boundary elements. 2009, Vol 33, Num 11, pp 1239-1245, issn 0955-7997, 7 p.Article

Note on using radial basis functions and Tikhonov regularization method to solve an inverse heat conduction problemSHIDFAR, A; DAROOGHEHGIMOFRAD, Z; GARSHASBI, M et al.Engineering analysis with boundary elements. 2009, Vol 33, Num 10, pp 1236-1238, issn 0955-7997, 3 p.Article

On the selection of the most adequate radial basis functionROCHA, Humberto.Applied mathematical modelling. 2009, Vol 33, Num 3, pp 1573-1583, issn 0307-904X, 11 p.Article

Symbolic classification, clustering and fuzzy radial basis function networkMALI, Kalyani; MITRA, Sushmita.Fuzzy sets and systems. 2005, Vol 152, Num 3, pp 553-564, issn 0165-0114, 12 p.Article

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