Radial Basis Function Networks and Complexity Regularization in Function Learning
–Neural Information Processing Systems
In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function network.
Neural Information Processing Systems
Dec-31-1997