Constructive Approximation to Multivariate Function by Decay RBF Neural Network - Hou, Muzhou; Han, Xuli (IEEE transactions on neural networks, 2010)
Keywords: Algorithms; Applied sciences; Approximation; Artificial Intelligence; Artificial neural networks; Computer science; control theory; systems; Computer Simulation - standards; Computers; Connectionism. Neural networks; Construction; Constructive neural networks; Convergence of numerical methods; Data processing. List processing. Character string processing; Decay; decay radial basis function (RBF) neural networks; Exact sciences and technology; Feedforward neural networks; interpolation; Iterative algorithms; Kernel; Logic and foundations; Machine learning; Mathematical analysis; Mathematical Computing; Mathematical logic, foundations, set theory; Mathematical models; Mathematics; Memory organisation. Data processing; Multi-layer neural network; Multivariate Analysis; Networks; Neural networks; Neural Networks (Computer); Neurons; Proof theory and constructive mathematics; Sciences and techniques of general use; Software; uniformly approximation; Statistical analysis; Constructive mathematics; decay radial basis function (RBF) neural networks; uniformly approximation; Continuous function; Neural network; Radial basis function; Overtraining; Constructive neural networks; interpolation; Model matching; Approximation by function; Vector support machine; Proof theory; Feedforward