A spatial interpolation method based on radial basis function networks incorporating a semivariogram model

Aizerman, 1964, Theoretical foundations of the potential function method in pattern recognition learning, Automatic Remote Control, 25, 821

Bashkirov, 1964, Potential function algorithms for pattern recognition learning machines, Automatic Remote Control, 25, 629

Bastin, 1984, Optimal estimation of the average rainfall and optimal selection of raingage locations, Water Resources Research, 20, 463, 10.1029/WR020i004p00463

Bellin, 1996, HYDRO_GEN: a spatially distributed random field generator for correlated properties, Stochastic Hydrology and Hydraulics, 10, 253, 10.1007/BF01581869

Broomhead, 1988, Multilvariable functional interpolation and adaptive networks, Complex System, 2, 321

Chiles, 1999

Chirlin, 1980, Theoretical head variogram for steady flow in statistically homogeneous aquifers, Water Resources Research, 16, 1001, 10.1029/WR016i006p01001

Duc, 2000, Spatial distribution characteristics of some air pollutants in Sydney, Mathematics and Computers in Simulation, 54, 1, 10.1016/S0378-4754(00)00165-8

Haykin, 1994

Hill, 1989, Statistical methods used in assessing the risk of disease near a source of possible environmental pollution: a review, Journal of Royal Statistical Society, 152, 353, 10.2307/2983132

Kitanidis, 1993, Geostatistics, 2.01

Looney, 2002, Radial basis functional link nets and fuzzy reasoning, Neurocomputing, 48, 489, 10.1016/S0925-2312(01)00613-0

Moody, 1989, Fast learning in networks of locally-tuned processing units, Neural Computation, 1, 281, 10.1162/neco.1989.1.2.281

Oukhellou, 1999, Hybrid training of radial basis function networks in a partitioning context of classification, Neurocomputing, 28, 165, 10.1016/S0925-2312(98)00122-2

Park, 1991, Universal approximation using radial-basis-function networks, Neural Computation, 3, 246, 10.1162/neco.1991.3.2.246

Poggio, 1990, Networks for approximation and learning, Proceedings of the IEEE, 78, 1481, 10.1109/5.58326

Powell, 1987, Radial basis functions for multivariable interpolation: a review, 143

Sanchez, 1998, The design of a real-time neurocomputer based on RBF networks, Neurocomputing, 20, 111, 10.1016/S0925-2312(98)00023-X

Tsujii, 1999, Classification of microcalcifications in digital mammograms using trend-oriented radial basis function neural network, Pattern Recognition, 32, 891, 10.1016/S0031-3203(98)00099-5

White, 1997, Soil zinc map of the USA using geostatistics and geographic information systems, Soil Science Society of America Journal, 61, 185, 10.2136/sssaj1997.03615995006100010027x

Xu, 1998, RBF nets, mixture experts, and Bayesian Ying-Yang learning, Neurocomputing, 19, 223, 10.1016/S0925-2312(97)00091-X

Zhao, 1996, Radar target recognition using a radial basis function neural network, Neural Networks, 9, 709, 10.1016/0893-6080(96)00088-3