Professional MATLAB source code with comprehensive documentation and examples
Pattern recognition implementation of a classifier designed for samples that follow multivariate normal distribution, featuring statistical parameter estimation and classification algorithms.
MATLAB implementation of genetic algorithm optimized backpropagation neural network, providing superior function approximation compared to standard BP neural networks with detailed code architecture explanation
This algorithm implements a genetic algorithm with real-valued encoding to optimize constrained and unconstrained functions for maximum value identification. The algorithm's performance is visualized through tracking the number of offspring across ge
A comprehensive MATLAB toolbox implementing the standard Particle Swarm Optimization algorithm with enhanced code functionality and optimization capabilities
The FAST ICA algorithm is utilized for ICA experiments and can be applied in various fields including facial recognition systems, with implementations focusing on signal separation and feature extraction.
The NSGA2 source code represents one of the most effective multi-objective evolutionary algorithms with superior convergence properties, featuring a comprehensive toolbox that facilitates implementation of various multi-objective optimization algorit
Implementation of Particle Swarm Optimization for solving 51-city TSP with customizable city count and positions, including comparative analysis against Genetic Algorithm results for performance evaluation
Implementation of EEG signal classification through Support Vector Machine algorithm with preprocessing, feature extraction, and model training
Smart Manufacturing Workshop Scheduling Program that utilizes genetic algorithm for process arrangement and optimization, featuring chromosome encoding, fitness evaluation, and evolutionary operations.
Introduction to the usage and various modules of MATLAB Neural Network Toolbox, hopefully useful for everyone. Includes practical code implementation insights and key function descriptions.
A Simplified Example of PSO Applied to PMU Configuration, Verified Through Practical Implementation
This is a fundamental genetic algorithm program designed for beginners, containing complete implementation steps with detailed code comments. The program demonstrates core genetic operations including population initialization, fitness evaluation, se
MATLAB-based genetic algorithm program for function optimization with implementation details and key function explanations.
An enhanced ant colony optimization algorithm combining 2-opt local search for solving complex vehicle routing problems (VRP) with improved efficiency and cost reduction
High-performance discrete PSO program with excellent simulation results and high precision, featuring efficient population-based optimization with customizable parameters
RBF-based prediction of chaotic time series implemented in MATLAB, using one-dimensional data generated from Lorenz time series with neural network architecture implementation details
Comprehensive guide to time series analysis, clustering techniques, and heuristic algorithm implementation using MATLAB. Personally curated collection containing valuable code examples, algorithm explanations, and practical applications for data anal
The comprehensive training procedure of BP neural networks (covering data filtering, smoothing, normalization, network construction, denormalization, and performance visualization) - A proven approach suitable for thesis projects and practical implem
Implementation of a standard genetic algorithm to optimize low-pass digital filter parameters through minimum mean square error method, achieving optimal transfer function coefficients with enhanced performance metrics.
Implementation of Standard Particle Swarm Optimization Algorithm using MATLAB programming with detailed code explanations and parameter analysis.