Professional MATLAB source code with comprehensive documentation and examples
MATLAB implementation of a basic Ant Colony Optimization (ACO) algorithm for solving the Traveling Salesman Problem (TSP), featuring parameter initialization, path construction using probabilistic selection, and pheromone matrix updates with evaporat
MATLAB implementation of Competitive Learning algorithm for data mining classification tasks, featuring code examples and neural network architecture explanations.
MATLAB source code implementations including Support Vector Classification (SVC_C, SVC_Nu), Support Vector Regression (SVR_Epsilon, SVR_Nu), and One-Class SVM algorithms with detailed parameter explanations and usage examples.
Source code for Particle Swarm Optimization (PSO) algorithm including basic PSO implementation and its applications in function optimization, featuring adaptive weight adjustment and dynamic neighborhood strategies for enhanced performance.
MATLAB-based spectral clustering algorithm implementation designed for image segmentation tasks, featuring eigenvalue decomposition and graph partitioning techniques
Cardoso's ICA algorithm using Joint Approximate Diagonalization of Eigenmatrices (JADE) method for blind source separation through fourth-order cumulant optimization
A highly effective MATLAB source code implementation of Particle Swarm Optimization algorithm for single-objective function optimization
Implementation of nonlinear support Vector Machine classifiers for multi-class classification using MATLAB programming environment.
A MATLAB-based genetic algorithm optimization program featuring random pairing crossover, multi-point crossover, and two-point crossover operations for objective function optimization
The TRAINBP algorithm for training artificial neural network systems suffers from limitations such as local minima and slow convergence rates, along with improved BP algorithm implementation strategies.
This MATLAB implementation of the Adaboost algorithm for license plate training and detection offers robust functionality, though training time may be extensive. The code leverages Adaboost's ensemble learning approach with weak classifiers to create
Multi-Input Multi-Output Wavelet Network Model based on the Journal of Ocean University of Qingdao paper implementation, requires MATLAB Neural Network Toolbox installation, features embedded initialization algorithm development with detailed program
MATLAB program implementing Particle Swarm Optimization for multi-objective extremum computation with customizable parameters and visualization capabilities
A MATLAB implementation of K-medoids clustering algorithm for image feature analysis, including algorithm explanation and key function descriptions.
Application of Niche Genetic Algorithm in optimization problems demonstrates superior performance compared to standard Genetic Algorithms
Source code implementation of Particle Swarm Optimization algorithm with PDF course materials, including practical examples demonstrating PSO applications for function optimization problems
Four beginner-friendly optimization algorithms including implementation approaches and code examples.
Self-organizing neural network SOM algorithm - debugged and ready for use with enhanced code implementation details
Implementation of Pareto-based multi-objective genetic algorithm variant NSGA2 with enhanced code-level descriptions
A compact yet powerful genetic algorithm program developed in MATLAB, featuring efficient optimization capabilities and user-friendly implementation for various computational problems.