Feature Extraction from Images Using Convolutional Neural Networks
Implementation of Convolutional Neural Networks in MATLAB for Image Feature Extraction
Ant Colony Clustering Algorithm for Image Segmentation
This program was developed for my graduation project, implementing an image segmentation system using ant colony clustering algorithm. It processes both standard photographic images and MRI medical images with effective results.
Support Vector Machines: Classification, Regression, and Fuzzy SVM Implementation
Comprehensive programs and implementations for Support Vector Machine classification, regression, and fuzzy SVM approaches with practical code examples
Clonal Selection Immune Algorithm with Enhanced Clone Operator
Clonal Selection Immune Algorithm incorporating clone selection principles, featuring a novel clone operator implementation with population management and affinity-based selection mechanisms
Vehicle Routing Problem with Ant Colony Algorithm and VRP-2opt Optimization
Ant Colony Algorithm for Vehicle Routing Problem with VRP-2opt Local Search Enhancement
Solving 50-City TSP Problem Using Hopfield Neural Network
Implementation of Hopfield neural network for solving Traveling Salesman Problem with 50 cities, featuring beginner-friendly explanations and code implementation insights.
MATLAB SVM TOOLBOX Implementation
MATLAB SVM TOOLBOX - An Optimized and Accelerated Version Based on GNU Implementation
ISODATA Clustering Algorithm with Annotated Implementation
ISODATA Clustering Algorithm featuring detailed code annotations and implementation using the Iris dataset. Includes explanations of key algorithmic steps such as centroid calculation, cluster merging/splitting mechanisms, and distance threshold conf
Classic Ant Colony Optimization Algorithm MATLAB Source Code
High-quality MATLAB implementation of the classic Ant Colony Optimization algorithm, featuring customizable parameters for various optimization problems. While C++ implementation is possible, MATLAB provides simpler syntax and built-in visualization
Time Series Prediction Using Echo State Neural Networks
Implementing time series forecasting with Echo State Neural Networks - demonstrating excellent prediction performance through reservoir computing methodology
Elman Neural Network Prediction for Power Systems
An Elman neural network-based prediction program designed for short-term load forecasting in electrical power systems, featuring recurrent network architecture for time-series analysis
Detailed Implementation of GMDH Neural Network
Comprehensive GMDH neural network program with demo as the main executable, featuring modular architecture and step-by-step implementation guide
Artificial Bee Colony Algorithm MATLAB Source Code
The Artificial Bee Colony algorithm is an optimization method inspired by bee behavior, representing a practical application of swarm intelligence. Its key characteristic is that it doesn't require specific problem information - only the ability to c
Artificial Bee Colony Algorithm MATLAB Toolbox
MATLAB toolbox for Artificial Bee Colony algorithm implementation, featuring fundamental optimization test functions and comprehensive solution frameworks.
Classification Optimization of Support Vector Machines (SVM) Using Genetic Algorithms
Optimization of Support Vector Machine (SVM) classification through the implementation of Genetic Algorithms for improved parameter tuning and performance enhancement
Time Series Prediction Using Neural Networks Optimized with Genetic Algorithm
Implementation of genetic algorithm-optimized neural networks for time series prediction. The genetic.m interface function provides straightforward configuration, allowing direct modification of neural network parameters. Users can easily substitute
Neural Network Application Design with MATLAB
MATLAB Neural Network Application Design: Complete source code examples from the book! Ideal for learning neural network implementation with practical coding demonstrations.
Foreign-Developed Particle Swarm Optimization Toolbox
A highly practical foreign-developed Particle Swarm Optimization (PSO) toolbox with complete implementation and extensive features.
Leaderless Multi-Agent Formation Control with Collision Avoidance
Implementation of multi-agent formation coordination without a virtual leader, incorporating collision avoidance mechanisms between agents through distributed control strategies.
Reactive Power Optimization in Power Systems Using Genetic Algorithms
This resource provides a convenient implementation of genetic algorithms for reactive power optimization in electrical power systems, featuring code examples and algorithm explanations.