basis functions

The system matrices of the local linear models are full parameterized and normalized radial basis functions are used for the weights.

Third, the model described HEDONIC theoretical basis, assumptions, variable selection to determine the form of basis functions.

The accuracy of approximation to a function depends on the choice of standard orthogonal basis functions and fitting algorithm.

The basis functions matrix reflects the statistical character of speech data itself, so this proposed method is of great rationality.

A device widely used with GTO basis functions is that of a contracted Gaussian set.

A direct comparison between these basis functions and complex wavelets is performed, highlighting the advantages of this approach.

Secondly, the completion of the design and implementation of action after the model as a basis functions as a repository of data retention.

The MOM chooses appropriate basis functions and testing functions to convert a continuous operator equation to a matrix equation.

The method of fundamental solutions (MFS) with radial basis functions (RBF) approximation was developed for general thermoelastic analysis.

The method is endowed with higher approximation accuracy of B-spline functions and various basis functions for structural analysis.

This method can be adapted to microstrip arrays with arbitrarily shaped elements by choosing RWG basis functions.

NMF yields basis functions compatible with established color naming categories.

Since the three types of basis functions are adopted, we can obtain the three schemes. All schemes belong to the TVD type.

At last, the performance of broadband bow-tie antenna above a wall is analyzed by MoM based on MPIE, using RWG basis functions.

Then, it can get the basis functions of natural images by using the information maximization algorithm of ICA.

Construction and classification of a set of complete orthogonal basis functions in the arbitrary triangular domain

Analytical method of the subdomain basis functions for the transmitted characteristics of two-dimension periodic structure

Optimized Radial Basis Functions-Cyclic Subspace Regression and Its Application to Quantitative Structure-activity Relationships

Reconstructing the Surface of Cp Value Defined on the Surface of Aircraft by Using Radial Basis Functions

Using Improved Basis Functions to Analyze Electromagnetic Characteristics of Slotted Frequency Selective Surfaces

Rapid Surface Interpolation from Massive Scattered Data Using Compactly Supported Radial Basis Functions and Conjugate Gradient Method

Theory of Constructing Radial Basis Functions and Its Applicationsin Image Processing

Error Estimates of Minimal Norm Interpolant Approximation by the Spherical Radial Basis Functions

Basis Functions for the Exact Inverse Control of the Convection-Diffusion Equation

Improvement of Speedy Algorithm of CMAC for Gauss Basis Functions and Its Application

Boundary Stabilized Image Morphing with Asymmetrical Radial Basis Functions

Constructing the Expanded Basis Functions of Rectangular Microstrip Patch Antenna

Application of CMAC neural network with Gaussian basis functions to overcoming nonlinear friction

Analysis of large array structures using characteristic basis functions method

Nonorthogonal Basis Functions and the Adaptive Representations for Images

The Error Estimates of Interpolant Approximation by Radial Basis Functions on the Unit Sphere

Accurate and Efficient Calculation of Singular Integrals in Galerkin Method with RWG Basis Functions

Calculation of Darcy's Velocity of Unsteady Seepage by Radial Basis Functions

Digital Image Inpainting with Radial Basis Functions

Multi-Sensor Information Fusion Approach Based on the Neural Network Algorithm with Orthogonal Basis Functions

CMAC New Structural Self-Organizing Fuzzy CMAC with Basis Functions

Discussion on Choice of Basis Functions in Element Free Galerkin Method

Predicting of Bioactivity of Organic Compounds by a Neural Network Based on Radial Basis Functions

Effects of Basis Functions on Dynamic Behavior of Manipulator

Algorithm of the Scattered Data Approximating Based on Radical Basis Functions and B-spline

Local boundary integral equation method based on radial basis functions for potential problems

Application of Image Inpainting Algorithm Based on Radial Basis Functions

Adaptive Equalizer Based on Complex Radial Basis Functions Networks