Professional MATLAB source code with comprehensive documentation and examples
A newly developed MATLAB source code implementation of the K-means clustering algorithm, specifically designed for handling multidimensional datasets with enhanced optimization features.
Source code implementation for JPG image segmentation combining genetic algorithm optimization with Otsu's maximum inter-class variance method
The adaptive genetic algorithm achieves high computational speed but tends to suffer from premature convergence. This program effectively addresses this issue through dynamic parameter adjustment and fitness-based operator adaptation.
Particle Swarm Optimization Algorithm for Solving Function Extremum Problems. This program visualizes the optimization process of particle swarm optimization, including position updates, velocity adjustments, and fitness evaluation through iterative
This MATLAB implementation of a CNN convolutional neural network achieves approximately 50% accuracy in handwritten digit recognition, with cnet_tool.m serving as the main demonstration file showcasing dataset loading, model training, and performance
Implementation of clonal selection algorithm from immune algorithms to address zero-wait constraints in production scheduling. The solution demonstrates promising performance in test runs, and I welcome feedback and suggestions for further improvemen
The Deep Learning MATLAB Toolbox serves as an invaluable starting point for newcomers, providing foundational materials that cover essential concepts, algorithm implementations, and practical coding examples to accelerate learning.
A sophisticated density-based clustering analysis algorithm capable of identifying arbitrarily shaped clusters and detecting noise points in complex datasets.
Multi-Objective Search Algorithm Using Particle Swarm Optimization Detailed tutorial available in included materials. For high-resolution tutorials due to file size limitations, please contact me at 1066146635@qq.com. Implementation includes particle
A trained neural network for approximating nonlinear functions with code implementation details
Implementation of image registration using hybrid genetic and ant colony algorithm requires MATLAB Genetic Algorithm Toolbox with population initialization and fitness function optimization
A MATLAB-based pedestrian detection code collection utilizing Haar features and SVM, including comprehensive dataset for testing and training.
MATLAB implementation of image matching using Particle Swarm Optimization (PSO) algorithm, featuring optimized parameter tuning and efficient search strategy for pattern recognition.
Simulated Annealing Algorithm Implementation - Practical MATLAB Code Suitable for Users with Basic MATLAB Foundation
MATLAB source code for training Self-Organizing Map neural networks, featuring unsupervised learning algorithms for data clustering and feature extraction, with detailed implementation guidelines.
Ant Colony Optimization algorithm for path planning problems, utilizing iterative search for global optimum with pheromone-based path selection mechanisms
This implementation package enables you to create, train, and test Fuzzy ART and Fuzzy ARTMAP neural networks. Developed by Aaron Garre, the package includes core algorithms for pattern recognition and fuzzy inference systems with modular code archit
Applying Continuous Wavelet Transform to BCI signal processing, followed by neural network classification including implementations using BP networks and LVQ networks with code-oriented algorithm descriptions.
This program implements the Chaotic Particle Swarm Optimization algorithm, designed for immediate use through parameter customization and adaptable for various optimization scenarios.
Classic MATLAB source code for wavelet neural network implementation, perfect for collaborative learning and understanding wavelet-based neural architectures.