Compensation control for dead-zone by adaptive dynamic radial basis function network
The key points in the calculation are introduced such as the selection of the basis function and testing function, the way to solve the integral singularity of Green function and so on.
Two-level-classifier is designed to recognized urinary sediments. The kernel function uses the radial basis function and grid-search method is used to select the parameters of SVM.
Generalized FIR model identification method based on orthonormal basis functions
Rather, the coefficient ratios between certain basis function are kept fixed at predetermined value.
Miss distance parameters are estimated by matching pursuit algorithm to search the basis function which best matches the echo signal.
Short-term load forecasting method based on neural network hybrid algorithm of adaptive variable coefficients particle swarm optimization and radial basis function
Hardware implementation of a combined radial basis function neural network
The Natural Neighbour Interpolation (NNI ) method based on C∞ basis function is described in this paper.
The results show that in ab initio method the choice of pseudopotential has great influence, and different basis function leads to different lattice constant in si material.
Fetal electrocardiogram extraction based on radial basis function neural networks
A radial basis function neural network based self-adapting predictive decoupling control system for gas collector pressure in coke ovens
Properties of two basis functions in element-free Galerkin method
By using quartic B-spline basis function to calculate the bending of a beam, the example proves the reasonability of the expansion form.
MoM solution of EM scattering by periodic metallic structures based on hybrid domain basis function
It can train polynomial function, neural networks, or radial basis function( RBF) classifiers.
Roothaan proposed representing the Hartree Fock orbitals as linear combinations of a complete set of known functions called basis function.
The practical problems in the fault detection and fault location using the wavelet transform, such as the wavelet basis function, the initial data, the velocity of traveling wave are studied.
The numerical example shows that increasing the item of radial basis function is not a right way to improve the accuracy of results, and more approximation functions should be employed in the DRBEM.
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