Examples of 'radial basis' in a sentence
Meaning of "radial basis"
radial basis: This phrase often refers to a mathematical or computational method that uses radial basis functions, which are a type of real-valued function whose value depends only on the distance from a specific point
How to use "radial basis" in a sentence
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radial basis
Solving PDEs with radial basis functions.
Radial basis function network.
From training a radial basis function network.
A typical algorithm is a warping algorithm based on a radial basis function.
Sums of radial basis functions are typically used to approximate given functions.
The mappings in NeuroScale are based on radial basis function networks.
We implemented radial basis functions to approximate the constraint and the objective functions.
This is not the case for other radial basis functions.
Radial basis functions were first introduced by Powell to solve the real multivariate interpolation problem.
The thin plate spline has a natural representation in terms of radial basis functions.
Kernel distance functions and radial basis functions Singular Boundary Method.
The idea is that every training sample will represent a mean to a radial basis neuron.
Alternatively, a radial basis function algorithm can be used.
Both functions combine a simplification method and a radial basis function network.
Figure 3, Two normalized radial basis functions in one input dimension.
See also
The output of the network is a linear combination of the outputs from radial basis functions.
Figure 4, Three normalized radial basis functions in one input dimension.
Generation of simulation models from measurement data using interpolation and radial basis function networks.
SVMs with linear and radial basis function ( RBF ) kernels have also been used.
The first one used for the dynamic detection is a recurrent radial basis function network.
There are several algorithms available for mesh morphing deforming volumes, pseudosolids, radial basis functions.
Modelling of non-stationary processes using radial basis function networks.
Among the most popular feedforward networks are perceptrons, multi-layer perceptrons and radial basis networks.
The neural network is a multi-layer perceptron, using radial basis functions in the hidden units.
The network had one hidden layer 34, each node of which contained a Gaussian radial basis function.
Is known as a " normalized radial basis function ".
The program combines a CFD model with a genetic algorithm optimizer and a radial basis function network learner.
In this embodiment, as illustrated in Figure 6, a Radial Basis Function neural network is used.
The second classifier may comprise a Radial Basis function.
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