Radial Basis Function Networks 1: Recent Developments in Theory and Applications Book

Dynamic RBF networks.- A hyperrectangle-based method that creates RBF networks.- Hierarchical radial basis function networks.- RBF neural networks with orthogonal basis functions.- On noise-immune RBF networks.- Robust RBF networks.- An introduction to kernel methods.- Unsupervised learning using radial kernels.- RBF learning in a non-stationary environment: the stability-plasticity dilemma.- A new learning theory and polynomial-time autonomous learning algorithms for generating RBF networks.- Evolutionary optimization of RBF networks.