MATLAB Code Implementation for Support Vector Machine (SVM)
SVM program code for pattern recognition and classification, applicable to image feature processing with enhanced algorithm implementation details.
PSO Implementation for Traveling Salesman Problem in MATLAB Environment
This program implements the Particle Swarm Optimization (PSO) algorithm for solving the Traveling Salesman Problem (TSP) using MATLAB environment
Gaussian Models in Pattern Recognition
Gaussian Models in Pattern Recognition - A Practical MATLAB Implementation with Code Examples and Algorithm Explanation
Gabor Wavelet Feature Extraction and SVM Classification Implementation
MATLAB source code for extracting Gabor wavelet features and performing classification using Support Vector Machine (SVM) algorithm with enhanced implementation details
Moga-SVM Implementation Comprising Three Core Modules
The Moga-SVM implementation consists of three primary documents: 1. moga (Multi-Objective Genetic Algorithm module) 2. nsga (Non-dominated Sorting Genetic Algorithm module). These components form the foundation for evolutionary optimization in SVM pa
Comparative Study of Artificial Immune Algorithm and Genetic Algorithm for TSP Problem Research
MATLAB-based program design comparison between Artificial Immune Algorithm and Genetic Algorithm implementations for Traveling Salesman Problem (TSP) research, featuring code analysis and performance evaluation.
Enhanced Grey Wolf Optimizer Algorithm (I-GWO)
The I-GWO algorithm incorporates an innovative movement strategy called Dimension Learning-Based Hunting (DLH), which mimics individual hunting behaviors observed in natural wolf packs. DLH constructs unique neighborhoods for each wolf using varied a
RBF Neural Network Predictive Control
RBF Neural Network Predictive Control, Predictive Control Methods, Implementation of RBF Neural Networks with Code Examples
Face Recognition Using Support Vector Machines (SVM)
This MATLAB source code implements face recognition using SVM algorithm, consisting of five main components: 1) ORL face database for training and testing, 2) OSU_SVM toolbox for function calls, 3) Main program with detailed comments, 4) Analysis rep
Novel Swarm Intelligence Algorithm with Exceptional Optimization Capabilities
A groundbreaking bee colony optimization algorithm featuring superior performance, applicable to feature selection and various computational domains with efficient implementation approaches
PSO-PID Control Algorithm Implementation in MATLAB
MATLAB code implementation for PSO-PID control system optimization using Particle Swarm Optimization and PID controller tuning
License Plate Recognition Using BP Neural Network Implementation
A self-developed license plate recognition program implemented with BP neural network, demonstrating good performance. (Both images and program files are included in the same folder)
SVM Classifier Algorithm Implementation with Source Code and Documentation
The package provides complete source code accompanied by detailed explanations in TXT and Word formats, including comprehensive instructions for using the SVM toolbox. It covers various SVM classification algorithms with in-depth explanations. The im
Enhancing Genetic Algorithm with PSO Particle Swarm Optimization as an Additive Operator
Utilizing PSO (Particle Swarm Optimization) as an additive operator to improve GA (Genetic Algorithm) performance through hybrid optimization strategy.
Grayscale Image Segmentation Using an Enhanced Spiking Neural Network
Implementation of grayscale image segmentation using an enhanced spiking neural network approach with code-level algorithm explanations
Implementation of the Independent Component Analysis Algorithm Using JADE for Blind Source Separation
The JADE Algorithm for Independent Component Analysis: Separating Mixed Signals with Fourth-Order Cumulant-Based Joint Diagonalization
Solving TSP Problem Using Genetic Algorithm with MATLAB Implementation
MATLAB implementation of genetic algorithm for solving the Traveling Salesman Problem (TSP), including city coordinates for validation and performance testing.
Whale Optimization Algorithm (WOA): A Nature-Inspired Metaheuristic for Single-Objective Optimization Problems
Whale Optimization Algorithm (WOA) is a novel metaheuristic optimization technique designed for solving optimization problems. The algorithm employs three core operators to simulate humpback whales' predatory behaviors: encircling prey, bubble-net fe
Co-occurrence Matrix Texture Analysis from Four Directions
Calculating entropy from four directional gray-level co-occurrence matrices (GLCM), deriving mean entropy values to construct feature matrices, and implementing texture segmentation through cluster analysis for image processing applications.
Clustering Analysis Algorithm Based on Euclidean Distance
A Euclidean distance-based clustering analysis algorithm implementation that processes user-input matrices to perform clustering, featuring automatic data grouping and similarity measurement capabilities.