Radial basis function network information

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. Hopfield network Feed-forward...

activation functions known as radial basis functions (RBFs) are used in RBF networks, which are extremely efficient as universal function approximators...

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

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

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

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

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

(prob/stats related court case) Radar chart Rademacher distribution Radial basis function network Raikov's theorem Raised cosine distribution Ramaswami's formula...

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

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...

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...

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

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

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

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...

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...

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

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

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

the embedded space. The mappings in NeuroScale are based on radial basis function networks. Gaussian process latent variable models (GPLVM) are probabilistic...

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

patterns in the feature space. Normal distribution Cauchy distribution Radial basis function kernel Squires, G. L. (2001-08-30). Practical Physics (4 ed.). Cambridge...