Professional MATLAB source code with comprehensive documentation and examples
Genetic Algorithm is a widely used evolutionary computation method. This repository contains MATLAB source code implementations for several genetic algorithm variants including: basic genetic algorithm, sequential selection GA, fitness scaling GA, la
MATLAB implementation of Particle Swarm Optimization algorithm for identifying shortest paths in obstacle-containing path graphs, featuring obstacle-aware path planning and convergence optimization techniques.
My implementations of programming assignments from Stanford's Deep Learning online course, featuring neural network architectures, optimization algorithms, and practical applications with detailed code explanations.
An optimized MATLAB implementation for constrained multi-variable genetic algorithms with enhanced code structure and functionality
SVM for image classification using block-based feature extraction primarily focuses on determining image categories such as ancient architecture, water bodies, vegetation, etc. Implementation involves feature vector extraction through image partition
Multi-objective Particle Swarm Optimization Algorithm with Two Objective Functions Example
MATLAB program integrating Genetic Algorithm and Fuzzy C-means Clustering for complex optimization problems
This study explores the chaos-improved ant colony algorithm and its application in marine boiler pressure PID control systems, focusing on enhancing optimization performance through chaotic elements integration with intelligent control strategies.
Master Haykin's neural network implementations featuring comprehensive MATLAB source code for classical AI algorithms
Source code implementation for a Multi-Input Multi-Output Support Vector Regression (MIMO SVR) machine, addressing the limitation of single-output in traditional Support Vector Machines
Implementation of PSO's local model demonstrates superior performance compared to global model variants, featuring more reliable convergence to optimal solutions despite slower convergence rates, with key implementations including neighborhood topolo
This simulation program implements radiation pattern analysis for circular array antennas using Particle Swarm Optimization (PSO) algorithm
Implementation code of immune optimization algorithm for logistics distribution center location selection. Detailed tutorial explanations are included inside the package. Due to file size limitations, contact me at 1066146635@qq.com for high-resoluti
A functional face detection implementation utilizing AdaBoost, Cascade classifiers, and Haar features, capable of training classifiers and detecting faces in images or videos.
Image recognition, text extraction, edge detection, binarization, pattern recognition design, and neural networks with MATLAB implementation examples
Application Background When BP networks are used for function approximation, the weight adjustment employs negative gradient descent method which has limitations such as slow convergence and local minima. Radial Basis Function (RBF) networks outperfo
MATLAB implementation of simulated annealing algorithm for solving nonlinear equation systems with code structure and parameter optimization details
This major assignment was assigned by Professor Huang Qingming in the Pattern Recognition seminar course. It focuses on a vanishing point-based road detection algorithm, which provides significant value for visual navigation research. The implementat
Radial Basis Function (RBF) neural networks for prediction and classification - a highly practical implementation with MATLAB/Python code examples
Implementation of a Simple Genetic Algorithm in Genetic Algorithms using MATLAB with code-related explanations.