Professional MATLAB source code with comprehensive documentation and examples
This collection presents various PID control programs developed through my research in recent years, including Gray PID, Neural Network Adaptive PID, Fuzzy PID, and more. These comprehensive implementations feature sophisticated algorithms and practi
Particle Swarm Optimization applied to the Knapsack Problem. Includes MATLAB source code implementation with detailed algorithm explanations, along with a comprehensive report analyzing the methodology, results, and algorithm performance. This repres
PID control tuned using RBF neural networks can approximate any continuous function with arbitrary precision through intelligent parameter adaptation
A practical EEG analysis program utilizing ICA methodology, featuring algorithm explanations and code implementation references for technical adaptation
General source code implementation for genetic simulated annealing algorithm featuring population size settings, groups, populations, and initial temperature parameters with optimization mechanics
This repository contains nearly all major clustering algorithms implemented in MATLAB, featuring executable demo examples that demonstrate practical applications and algorithm performance.
MATLAB implementation of Particle Swarm Optimization (PSO) algorithm for solving the Traveling Salesman Problem (TSP), including code structure and key parameter explanations.
An extremely valuable resource for pattern recognition practitioners! HAUSDORFF distance with implementation insights and algorithmic explanations.
K-means clustering method provides effective solutions for various image clustering and segmentation challenges, offering valuable implementation insights with code examples to enhance your image analysis capabilities
Implementation of Backpropagation Algorithm for Digital Character Recognition using Neural Networks
A double hidden layer backpropagation neural network routine designed for educational purposes, featuring clear algorithm explanations and practical code implementation details.
Source code for path planning using genetic algorithms, featuring practical implementation with successful test results and valuable technical documentation including algorithm explanations and key function descriptions
Beginner-friendly tutorial for learning MATLAB backpropagation neural networks, featuring practical implementation examples with detailed source code, network training procedures, and prediction/classification demonstrations
MCRGSA------Genetic Simulated Annealing Algorithm for Multicast Routing Problem %M-----------Number of evolutionary generations in genetic algorithm %N-----------Population size (must be even number) %Pm----------Mutation probability adjustment param
Implementation of Image Compression Program with BP Neural Network Algorithm
MATLAB implementation of DS evidence theory - a crucial data mining framework for fault diagnosis applications with comprehensive algorithmic descriptions
Laplacian Eigenmaps is a manifold learning-based nonlinear dimensionality reduction technique that constructs weights using heat kernels, widely applicable in image segmentation to enhance clustering performance through spectral graph theory implemen
A comprehensive MATLAB implementation of the Support Vector Machine algorithm with detailed code explanations and practical applications
Genetic Algorithm Toolbox for MATLAB, based on version 6.5. Support and adoption are highly encouraged. The toolbox is currently being evaluated for graph coloring applications. This implementation includes key evolutionary computing features such as
MATLAB source code for robot path planning using genetic algorithms, featuring robust implementation with custom optimization parameters and visualization tools