Professional MATLAB source code with comprehensive documentation and examples
A refined MATLAB implementation of the Active Shape Model (ASM) algorithm originally developed by Cootes. This enhanced version builds upon Cootes' classroom source code with critical bug fixes and adds convenient sample training label storage functi
This archive contains MATLAB source codes for generating and analyzing various complex network models, including BA scale-free networks, random graphs, WS small-world networks, NW small-world networks, and nearest-neighbor coupled networks, with impl
MATLAB Particle Swarm Optimization Toolbox for solving optimization problems including extremum value problems and parameter optimization
Fully functional MATLAB implementation of Ant Colony Optimization algorithm including complete source code, detailed documentation, pre-configured simulation data and parameter values. This serves as an excellent educational resource for understandin
MATLAB implementation of a simplified KMeans clustering algorithm with code explanations and practical application guidance
MATLAB implementation of RBF network modeling for generating training curves and fitting curves - verified with successful results!
MATLAB source code for Multi-Objective Particle Swarm Optimization algorithm designed to solve multi-objective optimization problems, featuring swarm intelligence implementation with Pareto front solutions. For detailed documentation and algorithm pa
A practical implementation combining Simulated Annealing with Particle Swarm Optimization algorithms, featuring fast convergence and robust performance
Particle Swarm Optimization algorithms have been implemented and tested. Test functions should be added to fitness.m for evaluation, enabling performance analysis through customizable benchmark functions.
MATLAB-based neural network controller design program with performance testing and simulation capabilities
A MATLAB-implemented face recognition system utilizing Support Vector Machine (SVM) algorithm, thoroughly debugged and proven effective for practical applications.
A recurrent neural network program designed for network training and generalization capabilities, featuring backpropagation through time (BPTT) algorithm implementation for sequential data processing.
Standard Particle Swarm Optimization algorithm implemented through six MATLAB (.m) files, ideal for beginners learning PSO concepts and implementation approaches.
High-quality MATLAB programs for Support Vector Machine (SVM) implementation, featuring practical examples, improved algorithms, and pre-processed gene datasets for SVM analysis - ideal for machine learning research and education.
This program implements handwritten digit recognition (digits 0-9) through a BP neural network model, featuring tested high accuracy. The implementation includes core components like neural network architecture design, backpropagation training algori
A customizable MATLAB program for fuzzy neural networks with adaptable architecture for various applications
Comprehensive overview of image feature extraction techniques, including implementations using MATLAB's fuzzy clustering algorithm for image segmentation, threshold-based segmentation methods, and feature extraction approaches with supporting materia
Developing an SVM classifier for the iris dataset in MATLAB from scratch without using pre-built toolboxes.
Implementation of FCM (Fuzzy C-Means) clustering segmentation on MATLAB platform with enhanced algorithmic and coding details
An improved niche genetic algorithm program designed for transformer fault prediction, featuring competition mechanisms and specialized coding implementations for optimized performance