a radial basis function network is an artificial neural network that uses radial basis functions as activation functions. The output of the network is...

In mathematics a radial basis function (RBF) is a real-valued function φ {\textstyle \varphi } whose value depends only on the distance between the input...

In machine learning, the radial basis function kernel, or RBF kernel, is a popular kernel function used in various kernelized learning algorithms. In...

machine learning, a Hyper basis function network, or HyperBF network, is a generalization of radial basis function (RBF) networks concept, where the Mahalanobis-like...

feedforward networks include convolutional neural networks and radial basis function networks, which use a different activation function. Feed forward...

S2CID 53715158. Approximation theory Fitness approximation Kriging Least squares (function approximation) Radial basis function network v t e v t e...

mapping Winnow (algorithm) Radial basis function network Cortes, Corinna; Vapnik, Vladimir (1995). "Support-vector networks" (PDF). Machine Learning. 20...

; Palm, Günther (2001). "Three learning phases for radial-basis-function networks". Neural Networks. 14 (4–5): 439–458. CiteSeerX 10.1.1.109.312. doi:10...

special class of activation functions known as radial basis functions (RBFs) are used in RBF networks. These activation functions can take many forms, but...

map Meta-learning (computer science) Multivariate analysis Radial basis function network Weak supervision Wu, Wei. "Unsupervised Learning" (PDF). Archived...

Generalized regression neural network (GRNN) is a variation to radial basis neural networks. GRNN was suggested by D.F. Specht in 1991. GRNN can be used...

control. Predictive analytics Radial basis function network Recurrent neural networks Support vector machine Tensor product network Pope, S. B. (1997). "Computationally...

based on the surrogate. Radial Basis Function Network (RBF) is a type of feedforward neural network that uses radial basis functions (typically Gaussian)...

the logistic map is a special case confined to the real line Radial basis function network, which illustrates the inverse problem for the logistic map...

use a radial basis function network (RBF) to create a nonlinear mapping between the latent space and the data space. The nodes of the RBF network then...

radial basis function network In the field of mathematical modeling, a radial basis function network is an artificial neural network that uses radial...

activation functions have been proposed, including the rectifier and softplus functions. More specialized activation functions include radial basis functions (used...

generated sets of functions, such as the convolutional neural network (CNN) architecture, radial basis functions, or neural networks with specific properties...

Processing, IEEE Press, 2001 P. Yee and S. Haykin, Regularized Radial Basis Function Networks, Wiley, 2001 S. Haykin, Communication Systems, Fourth Edition...

Neural Network (Perceptron) Hopfield Neural Network Jordan Recurrent Neural Network Radial Basis Function Network Recurrent Self Organizing Map (RSOM) Self...

processing. Radial basis function network: an artificial neural network that uses radial basis functions as activation functions Self-organizing map:...

component analysis (PCA) Radial basis function network (RBF) General regression neural network (GRNN) Probabilistic neural network (PNN) Self-organizing...

perhaps after transforming them through a radial basis function (a technique that has been used to train RBF networks). Coates and Ng note that certain variants...

unconstrained binary optimization Query-level feature Quickprop Radial basis function network Randomized weighted majority algorithm Reinforcement learning...

Cascade classifier Naive Bayes classifier Artificial neural network Radial basis function network (RBF) Support vector machine (SVM) Principal component analysis...

Fourier surrogate modeling Artificial neural networks including Multilayer perceptrons Radial basis function networks Support vector machines Due to the limited...

neural networks". Neural Networks. 3: 109–118. doi:10.1016/0893-6080(90)90049-Q. "Probabilistic Neural Networks :: Radial Basis Networks (Neural Network Toolbox™)"...

ALGOL 68R developed by RRE), Coral 66, radial basis function networks, hierarchical self-organising networks (deep autoencoders), the VIPER high-integrity...

tree Random forest k-nearest neighbors Naïve Bayesian networks Radial basis function network Gaussian process Decision table Alternating decision tree (ADTree)...

feedforward networks. Radial basis functions are functions that have a distance criterion with respect to a center. Radial basis functions have been applied...