Kriging Response Surface Model
Kriging response surface model implementation for high-accuracy function fitting with sample data
BP Neural Network for Function Fitting and Pattern Recognition
MATLAB implementation of BP neural network for function approximation and pattern classification tasks
BP Algorithm - Function Fitting Implementation
MATLAB-based Backpropagation Algorithm for function approximation with SIN function targeting demonstration, featuring parameter configuration and convergence analysis
RBF Neural Network for Function Fitting
% RBF Neural Network for Function Fitting % Development Platform - MATLAB 6.5
MATLAB Implementation of Hybrid Intelligent Algorithm for Power System Optimization
Hybrid Intelligent Algorithm: Utilizing Artificial Neural Networks to approximate uncertain functions and constraints, combined with Particle Swarm Optimization to solve stochastic programming models for IEEE 33-node systems with multiple wind power integration points.
SVM Toolbox Implementation for Classification and Regression Algorithm Function Fitting
This implementation provides four distinct SVM toolboxes for classification and regression algorithms: 1) LS_SVMlab toolbox with Classification_LS_SVMlab.m for multi-class classification and Regression_LS_SVMlab.m for function fitting using Least Squares SVM approach; 2) OSU_SVM3.00 toolbox featuring Classification_OSU_SVM.m for multi-class classification; 3) stprtool SVM toolbox containing Classification_stprtool.m for multi-class classification tasks; 4) SVM_SteveGunn toolbox with Classification_SVM_SteveGunn.m for binary classification and Regression_SVM_SteveGunn.m for function fitting.
BP Neural Network Implementation in MATLAB
MATLAB examples for BP Neural Networks (primarily used for function approximation and pattern classification) with detailed code implementation
RBF Neural Network Simulation (Primarily for Function Fitting and Pattern Classification)
MATLAB Example Implementation of RBF Neural Network for Function Approximation and Pattern Classification
BP Neural Network for Nonlinear System Modeling - Nonlinear Function Fitting
BP Neural Network for Nonlinear System Modeling - Nonlinear Function Fitting - A Classic Approach with Implementation Details
Cluster-Based RBF Neural Network Algorithm
Design of a clustering-based RBF neural network algorithm for function approximation of input-output data, with implementation leveraging unsupervised clustering for center initialization and supervised fine-tuning