Professional MATLAB source code with comprehensive documentation and examples
Wavelet Neural Networks combine wavelet analysis with neural networks by replacing traditional activation functions with wavelet basis functions, creating hybrid models for improved signal processing capabilities.
MATLAB-based implementation of an improved particle swarm optimization algorithm for 6-node power grid planning expansion - a sophisticated and valuable program featuring optimized algorithm architecture with enhanced convergence properties
A comprehensive MATLAB toolkit featuring support vector machines and kernel functions with direct calling capabilities
Professor Xinshe Yang's source code implementation of the Bat Algorithm from Cambridge University, featuring optimization algorithm implementation details
DBN source code serves as one of the fundamental implementations suitable for beginners in deep learning, covering essential concepts and architecture.
The latest Support Vector Machine toolbox offers comprehensive functionality for streamlined machine learning workflows. Key capabilities include automated to-do list generation for project management, complete documentation support, Support Vector R
Research paper on FTR auction models considering wind power integration, featuring genetic algorithm source code implementation utilizing Monte Carlo simulation for comprehensive analysis and experimental validation.
Resource Allocation Neural Network for Mackey-Glass Time Series Prediction Function Approximation with Implementation Details
A clear and easy-to-understand MATLAB implementation of the Ant Colony Optimization algorithm, ideal for learners to grasp the core concepts and programming techniques
JADE Dimensionality Reduction Technique with Algorithm and Implementation Insights
MATLAB program for T-S fuzzy neural network implementation, designed for endpoint detection applications with detailed algorithm explanations and code structure overview
Genetic Algorithm Toolbox Application Code with Implementation Examples - Refer to included tutorials for detailed explanations (contact me for high-resolution versions due to file size limitations)
RBF-NN, Radial Basis Function Neural Network. This implementation has undergone comprehensive validation tests, demonstrating reliable performance with proper code structure and parameter configuration.
High-quality MATLAB source code for Particle Image Velocimetry (PIV), successfully tested under MATLAB 2010 environment with robust cross-correlation algorithms for velocity field analysis.
Particle Swarm Optimization algorithm programmed in MATLAB, using the Schaffer test function for performance evaluation
MATLAB-based implementation of BP neural network algorithm for approximating arbitrary nonlinear functions, featuring multi-layer network architecture with backpropagation training methodology
Standard Particle Swarm Optimization (PSO) algorithm serves as an introductory program for learning PSO programming implementation
Implementation of PSO PID particle swarm optimization algorithm for designing optimal traffic flow control systems with enhanced parameter tuning capabilities
A straightforward binary classification program utilizing BP neural network, featuring clear code structure with detailed comments that beginners can easily understand and modify.
This code implements Parzen window estimation for probability density functions, a fundamental technique in pattern recognition applications including clustering, classification, and anomaly detection.