Professional MATLAB source code with comprehensive documentation and examples
Implementation of particle swarm optimization for multi-objective problems featuring Pareto optimal solutions, with annotated code structure and parameter tuning guidelines - suitable for academic publications and scientific research
Ant Colony Optimization (ACO) is a probabilistic algorithm for finding optimal paths, initially proposed by Marco Dorigo in his 1992 PhD thesis. Inspired by ants' path-seeking behavior during food searches, this algorithm combines distributed computi
MATLAB implementation of ant colony optimization algorithm for solving shortest path problems, includes runtime visualization charts, and can be modified for robotic path planning applications
This hybrid algorithm combines Particle Swarm Optimization with Simulated Annealing, featuring probabilistic jumping capabilities during the search process that effectively prevent convergence to local minima through temperature-controlled acceptance
Source codes for seven RBF neural network implementations, collected, modified, and summarized through my research - shared for community discussion and collaboration
This implementation uses Backpropagation Neural Networks to classify different land cover types in remote sensing images based on input sample values, followed by area calculation for each classified category using pixel counting and spatial analysis
A beginner-friendly support Vector Machine implementation with practical code examples and algorithm explanations
A comprehensive MATLAB toolbox for Niche Genetic Algorithm (NGA) implementation with four practical application cases. The package includes detailed usage documentation for each function, providing valuable resources for learning NGA's core concepts
Comprehensive MATLAB programs and code examples covering image segmentation, pattern recognition, and text recognition algorithms, including beginner-friendly implementations with detailed explanations of key functions and processing techniques.
Implementation of transformer fault prediction using Support Vector Machine, featuring data preprocessing, model training, and diagnostic classification with scikit-learn
PSO-ACO-TSP Algorithm for Traveling Salesman Problem Solving - A Hybrid Approach Combining Particle Swarm Optimization and Ant Colony Optimization
Handwritten programs for power system analysis
Leveraging the cloud model in artificial intelligence, this approach utilizes the forward and backward generation techniques of normal cloud generators to achieve comprehensive floral information extraction and reconstruction
RBF networks face challenges in determining hidden layer node centers and basis width parameters; they possess unique optimal approximation properties without local minima. However, their Gaussian activation functions exhibit localized characteristic
This documentation implements feature extraction with HAAR classifiers and demonstrates the step-by-step process of building strong classifiers from weak classifiers using the ADABOOST algorithm, including code-level implementation details.
MATLAB implementation of RBF neural network for stock market forecasting with error visualization and prediction plotting capabilities, featuring comprehensive code documentation and algorithm explanations
A wavelet neural network program designed for training and generalization applications, featuring robust algorithm implementation and performance optimization.
This repository contains MATLAB code implementing the Artificial Fish Swarm Algorithm (AFSA) used in my academic thesis. The code demonstrates optimization problem-solving capabilities and includes detailed algorithm analysis for practical applicatio
Implementation of Particle Swarm Optimization algorithm for training Fuzzy Neural Networks with enhanced performance in handling uncertainty and imprecise data patterns.
Detailed explanation of Chaotic Particle Swarm Optimization algorithm with MATLAB code implementation, including 7 research papers on chaotic PSO applications