Professional MATLAB source code with comprehensive documentation and examples
The cerebellar model is a table lookup adaptive neural network designed for representing complex nonlinear functions, with this example demonstrating its application in nonlinear function approximation using memory-based learning and adaptive weight
A MATLAB implementation of the EM algorithm for clustering tasks with optimized computational efficiency, featuring clear code structure and practical applications
Implementation of genetic algorithm for function optimization using MATLAB programming with selectable objective functions
Multi-Objective Particle Swarm Optimization Algorithm: Principles, Implementation, and Applications
ICA represents a relatively new methodology for image watermarking, implemented using MATLAB with capabilities for both watermark embedding and extraction. The implementation typically involves independent component analysis algorithms for feature se
This source code provides a classic implementation for solving the Traveling Salesman Problem using Genetic Algorithm, serving as an excellent reference for understanding evolutionary optimization approaches in combinatorial problems.
An improved ICA-R algorithm implementation featuring reference signal guided component extraction with enhanced convergence properties compared to standard ICA methods.
Enhanced Particle Swarm Optimization algorithm implementation demonstrating superior global convergence characteristics and accelerated search efficiency, featuring adaptive parameter control mechanisms and optimized population dynamics.
A parameter determination approach using Particle Swarm Optimization (PSO) to configure Pulse Coupled Neural Network (PCNN) image filtering parameters, implementing enhanced image denoising and feature extraction through optimized neural network proc
MATLAB-based SVM implementation for small sample analysis with applications in remote sensing image classification, featuring customizable kernel functions and parameter optimization
Ant Colony Clustering Algorithm with executable MATLAB source code implementation for optimization and data analysis applications
Multivariable System Control with PID Neural Network Implementation
MATLAB source code implementing genetic algorithm with adaptive technology for image denoising applications, featuring dynamic parameter adjustment and optimization mechanisms
A MATLAB-based support vector machine application designed for predictive modeling and forecasting tasks.
Complete SVM source code implementation in MATLAB, including practical exercises for applying SVM algorithms to classification and regression problems, featuring hyperplane optimization and kernel function demonstrations.
Face Orientation Recognition Using Learning Vector Quantization Neural Networks
This implementation features detailed code comments, making it ideal for educational reference and algorithm study. The annotations explain key algorithmic components including pheromone updates, path selection mechanisms, and convergence criteria.
Radial Basis Function Neural Network for Tanker Ship Heading Regulation with Algorithm Implementation Details
Applying Genetic Algorithm for Multivariate Function Optimization with Griewank Function Case Study
Implementation of Load Frequency Control Using Particle Swum Optimization Algorithm