MATLAB Implementation of Radial Basis Function
A simple and user-friendly MATLAB code implementation of radial basis function, featuring core interpolation algorithms and practical application examples
Explore MATLAB source code curated for "径向基函数" with clean implementations, documentation, and examples.
A simple and user-friendly MATLAB code implementation of radial basis function, featuring core interpolation algorithms and practical application examples
This repository provides MATLAB source code implementing a meshless method with radial basis functions (RBFs) for solving partial differential equations (PDEs), featuring numerical analysis techniques and implementation details.
MATLAB source code for radial basis functions including practical examples, algorithm implementations, and comprehensive learning resources
Complete MATLAB source code implementation for Radial Basis Function Neural Network (RBFNN) model computation
The PID control system tuned using RBF neural networks employs a three-layer feedforward network with a single hidden layer. This network structure demonstrates local approximation capabilities and has been proven to approximate arbitrary continuous functions with any desired precision.
Source code for neural network predictive control program implementing Radial Basis Function (RBF) neural networks
A comprehensive approach combining Radial Basis Functions and B-Splines for scattered data fitting, specifically optimized for 3D reconstruction applications.
RBF neural networks leverage radial symmetry and kernel transformations to approximate complex nonlinear functions through efficient architectural design and mathematical foundations
Using Radial Basis Function Networks for Function Approximation with Implementation Insights
MATLAB Code Implementation of RBF Neural Networks with Algorithm Explanations