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Relaxed conditions for radial-basis function networks to be universal approximatorsYI LIAO; FANG, Shu-Cherng; NUTTLE, Henry L. W et al.Neural networks. 2003, Vol 16, Num 7, pp 1019-1028, issn 0893-6080, 10 p.Article

A practical method for multi-objective scheduling through soft computing approach : Advanced production schedulingSHIMIZU, Yoshiaki; TANAKA, Yasutsugu.JSME international journal. Series C, Mechanical systems, machine elements and manufacturing. 2003, Vol 46, Num 1, pp 54-59, issn 1344-7653, 6 p.Article

Engine test data modelling by evolutionary radial basis function networksLIN, W; WU, M. H; DUAN, S et al.Proceedings of the Institution of Mechanical Engineers. Part D, Journal of automobile engineering. 2003, Vol 217, Num 6, pp 489-497, issn 0954-4070, 9 p.Article

Automatic basis selection techniques for RBF networksGHODSI, Ali; SCHUURMANS, Dale.Neural networks. 2003, Vol 16, Num 5-6, pp 809-816, issn 0893-6080, 8 p.Conference Paper

Radial basis function neural networks for nonlinear Fisher discrimination and Neyman-Pearson classificationCASASENT, David; CHEN, Xue-Wen.Neural networks. 2003, Vol 16, Num 5-6, pp 529-535, issn 0893-6080, 7 p.Conference Paper

A divide-and-conquer learning approach to radial basis function networksCHEUNG, Yiu-Ming; HUANG, Rong-Bo.Neural processing letters. 2005, Vol 21, Num 3, pp 189-206, issn 1370-4621, 18 p.Article

Sequential learning radial basis function network for real-time tidal level predictionsYIN, Jian-Chuan; ZOU, Zao-Jian; FENG XU et al.Ocean engineering. 2013, Vol 57, pp 49-55, issn 0029-8018, 7 p.Article

Feature selection using radial basis Function networksBASAK, J; MITRA, S.Neural computing & applications (Print). 1999, Vol 8, Num 4, pp 297-302, issn 0941-0643Article

An enhanced radial basis function network for short-term electricity price forecastingLIN, Whei-Min; GOW, Hong-Jey; TSAI, Ming-Tang et al.Applied energy. 2010, Vol 87, Num 10, pp 3226-3234, issn 0306-2619, 9 p.Article

Time series forecasting by combining the radial basis function network and the self-organizing mapLIN, Gwo-Fong; CHEN, Lu-Hsien.Hydrological processes. 2005, Vol 19, Num 10, pp 1925-1937, issn 0885-6087, 13 p.Article

Integrated Optimization by Multi-Objective Particle Swarm Optimization : Electronics, Information and SystemsKAWARABAYASHI, Masaru; TSUCHIYA, Junichi; YASUDA, Keiichiro et al.IEEJ transactions on electrical and electronic engineering. 2010, Vol 5, Num 1, pp 79-81, issn 1931-4973, 3 p.Article

Computing non-Newtonian fluid flow with radial basis function networksMAI-DUY, N; TANNER, R. I.International journal for numerical methods in fluids. 2005, Vol 48, Num 12, pp 1309-1336, issn 0271-2091, 28 p.Article

Orthogonal least squares algorithm for the approximation of a map and its derivatives with a RBF networkDRIOLI, C; ROCCHESSO, D.Signal processing. 2003, Vol 83, Num 2, pp 283-296, issn 0165-1684, 14 p.Article

Modelling constructed wetland treatment system performanceTOMENKO, Volodymyr; AHMED, Sirajuddin; POPOV, Viktor et al.Ecological modelling. 2007, Vol 205, Num 3-4, pp 355-364, issn 0304-3800, 10 p.Article

One step strategy for learning RBF network parametersSIROKI, M.CIT. Journal of computing and information technology. 1995, Vol 3, Num 4, pp 245-254, issn 1330-1136Article

Overcoming co-channel interference using an adaptive radial basis function equaliserCHEN, S; MULGREW, B.Signal processing. 1992, Vol 28, Num 1, pp 91-107, issn 0165-1684Article

Control of complex manufacturing processes : a comparison of SPC methods with a radial basis function neural networkWEST, D. A; MANGIAMELI, P. M; CHEN, S. K et al.Omega (Oxford). 1999, Vol 27, Num 3, pp 349-362, issn 0305-0483Article

Radial Basis Function Network for Multitask Pattern RecognitionNISHIKAWA, Hitoshi; OZAWA, Seiichi.Neural processing letters. 2011, Vol 33, Num 3, pp 283-299, issn 1370-4621, 17 p.Article

Modelling fungal growth using radial basis function neural networks : The case of the ascomycetous fungus Monascus ruber van TieghemPANAGOU, E. Z; KODOGIANNIS, V; NYCHAS, G. J.-E et al.International journal of food microbiology. 2007, Vol 117, Num 3, pp 276-286, issn 0168-1605, 11 p.Article

Neural networks and system identificationBILLINGS, S; CHEN, S.IEE control engineering series. 1992, Vol 46, pp 181-205, issn 0262-1797Article

Fast classification networks for signal processingKUN WON TANG; KAK, Subhash.Circuits, systems, and signal processing. 2002, Vol 21, Num 2, pp 207-224, issn 0278-081XArticle

Application of a neural network to the prediction of transmembrane regions of membrane proteinsLUCAS, C; TABESH, A; KHADEMI, S et al.International journal of modelling & simulation. 1996, Vol 16, Num 2, pp 73-77, issn 0228-6203Article

Optimization and characterization of electromagnetically coupled patch antennas using rbf neural networksMOHAMED, M. D. A; SOLIMAN, E. A; EL-GAMAL, M. A et al.Journal of electromagnetic waves and applications. 2006, Vol 20, Num 8, pp 1101-1114, issn 0920-5071, 14 p.Article

Automatic generation of RBF networks using waveletsMUKHERJEE, S; NAYAR, S. K.Pattern recognition. 1996, Vol 29, Num 8, pp 1369-1384, issn 0031-3203, 15 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

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