Pattern Recognition Classification Using Minimum Euclidean Distance
Minimum Euclidean distance-based pattern recognition classification method offers straightforward and intuitive implementation for classification tasks.
Professional MATLAB source code with comprehensive documentation and examples
Minimum Euclidean distance-based pattern recognition classification method offers straightforward and intuitive implementation for classification tasks.
High-quality MATLAB implementation using maximum cross-entropy to determine optimal iteration count for PCNN-based image segmentation, delivering excellent performance in image partitioning
Utilizing an enhanced genetic algorithm to optimize passive filter parameters considering three key aspects: cost minimization, reactive power compensation effectiveness, and filtering performance
A practical implementation demonstrating genetic algorithm optimization of neural network weights, including a comprehensive GA toolbox and detailed documentation. This example covers the complete workflow from parameter configuration to fitness eval
Application of Response Surface Methodology for PD Controller Optimization in Tanker Vessel Control Systems
A comprehensive guide to executing SGALAB_demo_*.m files in the Multi-Objective Genetic Algorithm framework. New features include: Multiple-Objective GA implementations (VEGA, NSGA, NPGA, MOGA), enhanced TSP operators (PMX, OX, CX, EAX, Boolean matri
Implementation of ID3 algorithm with tree-structured results display. Decision trees classify data for predictive purposes. This method constructs decision trees from training data, and if the tree fails to correctly classify all instances, exception
Essential kernel functions for SVM implementation, including four commonly used types: polynomial, linear, Gaussian (RBF), and sigmoid, with code implementation considerations
MATLAB implementation of Quantum Particle Swarm Optimization algorithm with comprehensive test functions for performance evaluation
MATLAB Genetic Algorithm Implementation for Traveling Salesman Problem with Excellent Performance
Source code implementing pattern recognition algorithms for accurate vehicle speed detection, featuring practical applications in traffic management and autonomous driving systems.
Particle Swarm Optimization algorithm for workshop scheduling problems, demonstrating excellent optimization capabilities with efficient solution convergence through position-velocity updates and fitness evaluation.
Artificial Immune Algorithm for Single-Objective and Multi-Objective Optimization Problems
MATLAB program for UAV path planning based on ant colony optimization algorithm without guidance factors, featuring algorithm implementation details and key function descriptions.
Source code implementation using Particle Swarm Optimization (PSO) to train artificial neural networks, featuring weight optimization and fitness function evaluation.
Wavelet Neural Network source program featuring three core components: 1. Nonlinear function construction module (nninit_test.m) 2. Direct WNN approximation implementation (Wnn_test.m) with internal wavelet function calls 3. Genetic algorithm optimiz
Implementation of the relatively new Dominant-Set clustering algorithm, including both core clustering code and test scripts. This graph theory-based approach offers significantly lower computational complexity compared to Normalized Cut while automa
This assignment focuses on fuzzy control system design, covering the development of a fuzzy logic controller (including detailed specifications of universe of discourse, linguistic variables, and rule base in the experimental report) and simulation i
Implementation of immune optimization algorithm for logistics distribution center location selection in MATLAB environment, featuring diversity evaluation and immune operation mechanisms with corresponding code implementations.
This collection contains MATLAB source code and relevant documentation for implementing Floyd's algorithm, Dijkstra's algorithm, greedy algorithms, genetic algorithms, search algorithms, ant colony optimization, and Hamiltonian cycle solutions. Each