EM Algorithm Source Code with Implementation Details and Experimental Analysis
Complete EM algorithm source code implementation, including execution results and comprehensive experimental report with performance analysis
Explore MATLAB source code curated for "源程序" with clean implementations, documentation, and examples.
Complete EM algorithm source code implementation, including execution results and comprehensive experimental report with performance analysis
This repository contains source code implementations of Differential Evolution algorithms. These programs feature powerful optimization capabilities suitable for various domains including engineering design, financial modeling, and large-scale network analysis.
MATLAB source code for a Principal Component Analysis (PCA) based face recognition system - PCA_based Face Recognition System.rar, featuring dimensionality reduction and feature extraction algorithms
Comprehensive MATLAB and C source code implementations of the Gabor algorithm with detailed technical explanations for signal and image processing applications
A comprehensive source code implementation of Ant Colony Algorithm for optimization problems, with availability for additional resources and technical support upon request
A comprehensive MATLAB toolkit for Least Squares Support Vector Machines (LS-SVM), featuring complete source code implementations and detailed usage documentation with algorithm explanations and parameter optimization guidelines.
Complete MATLAB source code implementation for Self-Organizing Map (SOM) neural network design with detailed algorithm explanations and practical applications
Particle Swarm Optimization Algorithm source code implementation with customizable parameters for specific application requirements
Source code implementation of the latest international speaker recognition algorithm with built-in voice training dataset
Support Vector Machine implementation for classification tasks, including dedicated training and test datasets. The package contains six source programs demonstrating practical SVM application with data partitioning strategies.