Rbf — SciPy 1 Manual

rbf  The Hill-RBF Calculator is an advanced, self-validating method for IOL power selection employing pattern recognition by artificial intelligence It has been The use of an RBF network is similar to that of an mlp The idea of radial basis function networks comes from function interpolation theory

RBF kernels are the most generalized form of kernelization and is one of the most widely used kernels due to its similarity to the Gaussian distribution  Architecture of RBF RBF network is an artificial neural network with an input layer, a hidden layer, and an output layer The Hidden layer of RBF consists of

RBF Advisors RBF SVM parameters# This example illustrates the effect of the parameters gamma and C of the Radial Basis Function kernel SVM