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An efficient MDL-based construction of RBF networksLEONARDIS, A; BISCHOF, H.Neural networks. 1998, Vol 11, Num 5, pp 963-973, issn 0893-6080Article

Decision trees can initialize radial-basis function networks : Special issue on neural networks and hybrid intelligent modelsKUBAT, M.IEEE transactions on neural networks. 1998, Vol 9, Num 5, pp 813-821, issn 1045-9227Article

Water structure affected by a weak baseYAO, S. H; LEE, J; ROBINSON, G. W et al.Journal of the American Chemical Society. 1990, Vol 112, Num 15, pp 5698-5700, issn 0002-7863Article

SCELib : A parallel computational library of molecular properties in the single center approachSANNA, N; GIANTURCO, F. A.Computer physics communications. 2000, Vol 128, Num 1-2, pp 139-169, issn 0010-4655Article

Comparison of basis functions in soft x-ray tomography and observation of poloidal asymmetries in impurity densityINGESSON, L. C; CHEN, H; HELANDER, P et al.Plasma physics and controlled fusion. 2000, Vol 42, Num 2, pp 161-180, issn 0741-3335Article

Synthesis of linear aperture antennas using wavelets as basis functionsCUINAS, I; PINO, M. R; LANDESA, L et al.International journal of electronics. 1999, Vol 86, Num 11, pp 1385-1393, issn 0020-7217Article

Dynamic overload control for distributed call processors using the neural-network methodSI WU; WONG, K. Y. M.IEEE transactions on neural networks. 1998, Vol 9, Num 6, pp 1377-1387, issn 1045-9227Article

Stable encoding of robot trajectories using normalised radial basis functions : Application to an autonomous wheelchairBUGMANN, G; KOAY, K. L; BARLOW, N et al.International symposium on robotics. 1998, 4 p.Conference Paper

THE ACID AND BASE STRENGTH FUNCTIONS: A QUANTITATIVE SCALE FOR ANY SOLVENT SYSTEMLEVITT LS; WIDING HF.1974; CHEM. AND INDUSTRY; G.B.; DA. 1974; NO 19; PP. 781-783; BIBL. 9 REF.Article

Improving support vector machine classifiers by modifying kernel functionsAMARI, S; WU, S.Neural networks. 1999, Vol 12, Num 6, pp 783-789, issn 0893-6080Article

Wavelet interpolation networks for hierarchical approximationBERNARD, C. P; MALLAT, S. G; SLOTINE, J.-J et al.SPIE proceedings series. 1999, pp 219-232, isbn 0-8194-3299-7Conference Paper

Nonaqueous potentiometric titration and elemental analysis of high-boiling distillates of Saudi Arabian crude oilsMOHAMMAD FARHAT ALI; MOHAMMED ASHRAF ALI.Fuel science & technology international. 1988, Vol 6, Num 6, pp 663-685, issn 0884-3759Article

Titrations in non-aqueous media. IV: Solvent effects on basicity of aliphatic aminesGUNDUZ, T; GUNDUZ, N; KILIC, E et al.Analyst (London. 1877. Print). 1986, Vol 111, Num 11, pp 1345-1347, issn 0003-2654Article

The catalytic performance in oxidative coupling of methane and the surface basicity of La2O3, Nd2O3, ZrO2 and Nb2O5KUS, Slawomir; OTREMBA, Marian; TANIEWSKI, Marian et al.Fuel (Guildford). 2003, Vol 82, Num 11, pp 1331-1338, issn 0016-2361, 8 p.Article

A complex valued radial basis function network for equalization of fast time varying channelsGAN, Q; SARATCHANDRAN, P; SUNDARARAJAN, N et al.IEEE transactions on neural networks. 1999, Vol 10, Num 4, pp 958-960, issn 1045-9227Article

Basis function models of the CMAC networkKOŁCZ, A; ALLINSON, N. M.Neural networks. 1999, Vol 12, Num 1, pp 107-126, issn 0893-6080Article

Applying neural network to combining the heterogeneous features in content-based image retrievalHYOUNG K. LEE; YOO, Suk I.SPIE proceedings series. 2001, pp 81-89, isbn 0-8194-3983-5Conference Paper

A fuzzy basis function network based power system stabilizer for generator excitation controlABIDO, M. A; ABDEL-MAGID, Y. L.Electric power systems research. 1999, Vol 49, Num 1, pp 11-19, issn 0378-7796Article

A global learning algorithm for a RBF networkQIUMING ZHU; YAO CAI; LUZHENG LIU et al.Neural networks. 1999, Vol 12, Num 3, pp 527-540, issn 0893-6080Article

Combinatorial evolution of regression nodes in feedforward neural networksSCHMITZ, G. P. J; ALDRICH, C.Neural networks. 1999, Vol 12, Num 1, pp 175-189, issn 0893-6080Article

Mouse chromosome classification by radial basis function network with fast orthogonal searchMUSAVI, M. T; BRYANT, R. J; QIAO, M et al.Neural networks. 1998, Vol 11, Num 4, pp 769-777, issn 0893-6080Article

The connection between regularization operators and support vector kernelsSMOLA, A. J; SCHÖLKOPF, B; MÜLLER, K.-R et al.Neural networks. 1998, Vol 11, Num 4, pp 637-649, issn 0893-6080Article

Generalized unequal length lapped orthogonal transform for subband image codingNAGAI, Takayuki; IKEHARA, Masaaki; KANEKO, Masahide et al.IEEE transactions on signal processing. 2000, Vol 48, Num 12, pp 3365-3378, issn 1053-587XArticle

Performance simulation of a transform domain communication system for multiple access applicationsSWACKHAMMER, P. J; TEMPLE, M. A; RAINES, R. A et al.MILCOM 1999. Conference. 1999, pp 1055-1059, isbn 0-7803-5538-5, 2VolConference Paper

A loss function approach to model selection in nonlinear principal componentsWEBB, A. R.Neural networks. 1999, Vol 12, Num 2, pp 339-345, issn 0893-6080Article

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