MATLAB Code Implementation for Solving PSO Problems
Complete MATLAB code for solving Particle Swarm Optimization (PSO) problems with clear annotations and customizable implementation
MATLAB Implementation of RBF Predictive Model
The RBF predictive model accurately forecasts the functionality and characteristics of RBF neural networks, featuring code implementation details for radial basis function approximation and network training.
MATLAB Implementation of Fuzzy C-Means Clustering Algorithm with Detailed Code Explanations
A MATLAB program for fuzzy C-means clustering featuring comprehensive code annotations, implementation insights, and algorithm breakdowns - particularly helpful for beginners in machine learning and pattern recognition.
Four Ant Colony Optimization Algorithms with Source Code Implementations
This collection features four distinct Ant Colony Algorithm implementations, including three MATLAB versions and one C language version, complete with source code for research and application development.
Freight Volume Prediction Using Generalized Regression Neural Network
Source code implementation for freight volume prediction based on Generalized Regression Neural Network (GRNN), featuring ready-to-compile code with comprehensive inline comments and detailed algorithm explanations.
Excellent SVM Matlab Toolbox for Machine Learning
Comprehensive SVM Matlab Toolbox for Classification and Regression Tasks
Enhanced Discrete Particle Swarm Optimization Algorithm
Enhanced Discrete Particle Swarm Optimization Algorithm supporting multiple optimization solutions with improved search strategies and operators
Direct Neural Control for Process Control Systems
Implementation of direct neural control methodology for industrial process automation
MATLAB Implementation of Quantum Particle Swarm Optimization Algorithm
MATLAB implementation of Quantum Particle Swarm Optimization algorithm with comprehensive program documentation and code descriptions
A Practical Guide to Neural Network Toolbox
A comprehensive guide document for MATLAB Neural Network Toolbox implementation
MATLAB Implementation of Ant Colony Optimization for Traveling Salesman Problem
A highly efficient MATLAB program implementing Ant Colony Optimization algorithm for solving Traveling Salesman Problem (TSP), featuring parameter customization and optimal route calculation
Implementation of Function Approximation and Classification Using Fuzzy Neural Networks
Fuzzy Neural Networks for Function Approximation and Classification with Fuzzy Rule Extraction Capabilities
MATLAB Implementation of Nearest Neighbor Algorithm for Pattern Recognition Problems
MATLAB implementation of nearest neighbor algorithm for pattern recognition, capable of simulating the core functionality of the nearest neighbor method. This well-structured code provides a practical approach to understanding and applying nearest ne
Hybrid Bacterial Foraging Optimization and Particle Swarm Optimization Algorithm
A program integrating Bacterial Foraging Optimization and Particle Swarm Optimization algorithms for computing fitness function extrema, featuring implementation insights on population initialization, chemotaxis movement, and velocity-update mechanis
Function Optimization Using Ant Colony Algorithm
MATLAB Implementation of Function Optimization with Ant Colony Algorithm
MATLAB Implementation of Artificial Neural Networks for Tourism Forecasting
MATLAB programming for artificial neural networks with BP network example focusing on inbound tourist number prediction, which provides valuable references for tourism management and government departments. Establishing a scientifically sound three-l
Niche Ant Colony Optimization Algorithm Example
This niche Ant Colony Optimization algorithm example provides excellent practice for understanding ACO implementation, particularly useful for studying optimization algorithms and solving multi-objective problems through pheromone-based pathfinding s
BP Neural Networks for Classification and Regression Tasks
BP Neural Networks are highly effective for classification and regression applications, featuring straightforward implementation with powerful performance - highly recommended for practical use.
Mean Shift Image Segmentation with Implementation Notes
Mean shift image segmentation implementation with three key simplifications: 1) Single iteration of mean shift process (for simplicity) 2) Neighborhood limitation using 2*hr radius during pixel translation 3) Exclusive use of Gaussian kernel for rang
Training SVM Classifiers Using Extracted Feature Information
In the MATLAB environment, feature information extracted through various algorithms can be utilized as input for training Support Vector Machine (SVM) classifiers