Logistic Regression (LR) Classifier Implementation
This program provides a logistic regression classification implementation with comprehensive usage instructions, offering a downloadable reference for binary classification tasks.
Simulating Single Particle Motion on Hexagonal Cellular Automata
This program simulates single particle motion on hexagonal cellular automata using MATLAB implementation based on FHP rules, featuring algorithm visualization and computational modeling capabilities.
RBF Neural Network Fault Diagnosis Program
The RBF neural network fault diagnosis program implements an advanced pattern recognition system. Whenever another member downloads your uploaded source code, your available download count increases by 1, enabling greater knowledge sharing opportunit
Wavelet Neural Network for Electric Load Forecasting
Wavelet Neural Network (WNN) electric load forecasting method, with significant learning value and practical application potential
Support Vector Machine
These MATLAB source files implement Support Vector Machine algorithms for classification and regression tasks, providing practical implementation examples for machine learning applications.
One-Dimensional and Two-Dimensional Support Vector Machine Regression
Implementation and applications of one-dimensional and two-dimensional support vector machine regression algorithms
MATLAB Implementation of Genetic Algorithms with Adaptive Features
MATLAB genetic algorithm program featuring adaptive genetic algorithm implementation with parameter optimization
Fuzzy C-Means Clustering Algorithm Source Code
Original MATLAB implementation of the Fuzzy C-Means clustering algorithm with complete code structure and parameter configurations
Simple GASVM for LS-SVM Implementation
Implementation of a simplified Generalized Approximate Support Vector Machine (GASVM) algorithm for Least Squares Support Vector Machines (LS-SVM)
Particle Swarm Optimization Algorithm for RBF Neural Network Enhancement
PSO-based RBFNN Optimization Algorithm Steps: 1. Normalize sample data by scaling inputs/outputs to [-1,1] range; 2. Determine RBF network centers and widths; 3. Use PSO algorithm with root mean square fitting error as performance metric to optimize
Artificial Immune Algorithm
MATLAB implementation of the Artificial Immune Algorithm with ready-to-execute code
MATLAB Implementation of HOPFIELD Neural Network for Digital Recognition
MATLAB source code featuring HOPFIELD neural network optimization algorithm with application to digit recognition problems. Includes weight matrix computation, pattern storage, and associative memory retrieval functions.
Job Shop Scheduling Problem Genetic Algorithm Implementation
General-purpose genetic algorithm program for solving job shop scheduling problems, featuring population initialization, genetic operators, and fitness evaluation
Center and Structure Clustering-Based Sparse Representation Method for Image Denoising
An image denoising method utilizing center and structure clustering with sparse representation, demonstrating effective noise reduction performance through clustering-based feature extraction and sparse coding techniques.
Multi-Objective Genetic Algorithm Using SPEA Method
Multi-objective genetic algorithm implementation based on SPEA (Strength Pareto Evolutionary Algorithm) method. This general-purpose package allows customizable modifications for various optimization scenarios.
Particle Swarm Optimization Algorithm
Particle Swarm Optimization effectively enhances system performance and efficiency with robust implementation capabilities
Multi-Objective Optimization Example Using Genetic Algorithm
An implementation of multi-objective optimization using genetic algorithms with dynamic visualization of Pareto front distribution during the optimization process.
Source Code for Genetic Algorithm Optimization of BP Neural Networks
Reposted source code demonstrating initialization function implementation for genetic algorithm-optimized BP neural networks, featuring population generation and weight initialization techniques.
MATLAB Program for PSO Optimization of SVM Parameters with Implementation Examples
A MATLAB implementation using Particle Swarm Optimization (PSO) to optimize Support Vector Machine (SVM) parameters, complete with practical examples. This program requires the SVM toolbox to be installed prior to execution.
Blind Source Separation of Mixed Images Through Optimized ICA Algorithm Implementation
This program achieves superior blind source separation of mixed images by implementing an optimized ICA algorithm, demonstrating better separation performance compared to standard ICA approaches. The implementation includes algorithmic enhancements f