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Hyper basis function network
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<p>In <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a>, a Hyper basis function network, or HyperBF network, is a generalization of <a href="/facts/Radial_basis_function_network/KBesEWD3">radial basis function (RBF) networks</a> concept, where the <a href="/facts/Mahalanobis_distance/UneEsDng">Mahalanobis</a>-like distance is used instead of Euclidean distance measure. Hyper basis function networks were first introduced by Poggio and Girosi in the 1990 paper “Networks for Approximation and Learning”. </p>