BP Neural Network Classification Application
BP Neural Network Classification Application - Simple and Practical Implementation with Code Examples
Professional MATLAB source code with comprehensive documentation and examples
BP Neural Network Classification Application - Simple and Practical Implementation with Code Examples
Performance comparison of Genetic PSO, Chaotic PSO, and Standard PSO algorithms on a test function, demonstrating their respective convergence curves. This represents the core innovation of my graduation project, with significant practical applicatio
Examples demonstrating the use of MATLAB SVM KM Toolbox for machine learning implementations
Consensus algorithms for multi-agent systems, including continuous, discrete, and hybrid consensus algorithms, with code implementation considerations.
A PID controller was developed using Genetic Algorithm (GA), demonstrating excellent performance in simulation results with detailed implementation insights.
Includes complete source code, datasets, and reference materials. Originally provided as classroom teaching resources for cluster analysis applications. Contains distinct learning and training modules suitable for SVM beginners. Features detailed alg
MATLAB implementation of Bayesian classifier for pattern recognition with comprehensive code structure and algorithmic explanations
MATLAB Ant Colony Optimization Toolbox Source Code - A comprehensive implementation for solving optimization problems
Implementation of grayscale image segmentation using Pulse Coupled Neural Networks, developed in MATLAB version 6.5 or higher environments with enhanced code-specific implementation details
Implementation of Ant Colony Optimization (ACO) in MATLAB for optimizing 10 distinct functions including unimodal and multimodal functions with single variables, as well as multimodal functions with multiple variables.
This resource features the Genetic Algorithm Toolbox developed by the University of Sheffield, along with corrected and debugged source code examples from Professor Lei Yingjie's "MATLAB Genetic Algorithm Toolbox and Its Applications" book. The imple
Utilizing Gaussian fitting to determine precise particle coordinates by analyzing approximately circular diffraction patterns in images, with implementation details for MATLAB and computer vision algorithms.
An intuitive SVM MATLAB toolbox with classification and regression capabilities, featuring comprehensive examples and implementation guidance.
MATLAB program for Support Vector Machine (SVM) implementation, demonstrating the fundamental SVM architecture with core algorithm workflow
This is a MATLAB-implemented Ant Colony Optimization (ACO) program designed to solve the Traveling Salesman Problem (TSP) with detailed algorithm parameter configurations and path optimization processes.
This article explores various algorithms for TSP optimization including Genetic Algorithms, A* Algorithm, Dijkstra's Algorithm, Simulated Annealing, and Neural Networks, with code implementation insights
A compressed package containing genetic algorithm source code implementation for MATLAB
This MATLAB code implements an adaptive genetic algorithm, thoroughly debugged and verified through multiple experimental runs. The implementation provides a practical solution for various complex optimization problems.
This repository contains MATLAB source code implementations for fuzzy mathematics applications, including fuzzy pattern recognition, fuzzy clustering analysis, fuzzy comprehensive evaluation, and fuzzy linear programming algorithms with practical imp
Classic density-based clustering algorithm OPTICS implemented in MATLAB, featuring clear explanations and executable code for practical data analysis applications