Professional MATLAB source code with comprehensive documentation and examples
A comprehensive experimental system with GUI for SVM pattern recognition, fully implemented in MATLAB with multi-class classification capabilities. This is an auxiliary program developed for my graduation project, featuring clear code structure with
Application Background: Particle Swarm Optimization (PSO) is a prominent swarm intelligence algorithm that has become a research hotspot in stochastic optimization. Quantum-behaved Particle Swarm Optimization (QPSO) introduces quantum mechanical prin
Genetic algorithm implementation using floating-point encoding with adaptive crossover and mutation factors for enhanced search capability
Adaptive Niche Hierarchical Genetic Algorithm for Function Optimization Problems - Modify the objective function to solve different optimization problems by replacing the function implementation.
An improved particle swarm optimization algorithm designed for reactive power compensation systems, featuring enhanced optimization capabilities for better power factor correction and voltage quality management.
Particle Swarm Optimization Algorithm Implementation for Power Systems
Self-developed Genetic Algorithm with Custom Code Implementation
MATLAB implementation code for 2D particle swarm optimization simulation experiment, providing practical algorithmic visualization and optimization performance analysis.
Comprehensive MATLAB implementation of fuzzy neural network algorithm including training and testing functions with practical application examples. Well-suited for various scenarios with detailed code explanations.
A professional MATLAB package for digital image ICA research, containing source code, test images (data), and result datasets. Supports ICA/ISR/TOPOICA computations with modular algorithm implementations.
MATLAB routine featuring simple and easy-to-understand k-medoids clustering algorithm source code with detailed implementation insights
Road detection and segmentation algorithm implemented using genetic algorithm optimization
This section covers multiple prediction algorithms with inherent correlations, including implementation approaches and key characteristics.
Collection of simulated annealing algorithms with pseudocode implementations suitable for solving TSP problems and other optimization tasks - verified for effectiveness and computational efficiency, available for download and testing
A fingerprint recognition system developed in MATLAB, primarily implementing common fingerprint recognition techniques in pattern recognition. The package includes test samples and detailed usage instructions (refer to read_me for specifics).
MATLAB Support Vector Machine for comprehensive multi-class pattern classification solutions, featuring efficient implementation that rapidly resolves classification challenges - highly recommended for download!
S-function Implementation of BP Neural Network for PID Parameter Auto-Tuning - Current Limitations and Need for Improved Solutions
ADPTIVE GA is an improved genetic algorithm program featuring diverse crossover operators and mutation operators, delivering robust computational capabilities for complex optimization problems.
The perceptron algorithm, implemented in MATLAB, is a fundamental pattern classification method that adjusts weights and thresholds to map input data into distinct categories.
A comprehensive guide to implementing fuzzy neural networks in MATLAB, featuring algorithm explanations and practical code examples