Professional MATLAB source code with comprehensive documentation and examples
A MATLAB-based implementation utilizing genetic algorithms for image segmentation: This program demonstrates how genetic algorithms can be applied to automatically find optimal image segmentation solutions through fitness evaluation and genetic opera
A practical implementation example demonstrating image segmentation through genetic algorithms, featuring robust performance and technical insights.
Wavelet Neural Network with J output nodes and I input nodes, featuring wavelet-based activation functions and network architecture.
Easy MATLAB implementation of ID3 algorithm for effective data mining and classification tasks with decision tree approach
Implementation of image segmentation using genetic algorithm with MATLAB source code, including detailed explanation of optimization process and key functions
Implementing Image Segmentation and Smoothing Through Mean Shift Algorithm with Code Implementation Details
Implementation of Particle Swarm Optimization for system enhancement with fully operational code execution
A highly effective MATLAB-based ant colony clustering algorithm with validated simulation results and practical application demonstrations.
Implementing iris dataset classification using a manually coded BP neural network in MATLAB environment, featuring basic backpropagation implementation without utilizing built-in functions.
Implementing PSO-optimized BP neural networks for wind power forecasting with practical datasets and case studies, including code implementation insights for parameter optimization and neural network training.
Implementation of fractional-order PID controller parameter tuning based on particle swarm optimization algorithm, developed under MATLAB R2007 environment with code structure analysis and optimization methodology
This MATLAB code was developed during mathematical modeling for time series prediction using Backpropagation Neural Networks. The implementation is fully functional and includes MATLAB-formatted data for easy validation. The code features detailed co
A straightforward MATLAB implementation using genetic algorithms to optimize SVM parameters, featuring clear code structure with key functions for crossover, mutation, and fitness evaluation - ideal for beginners studying computational intelligence t
This is a custom-developed license plate recognition program utilizing neural networks, specifically optimized for Chinese blue-background license plates. The implementation includes detailed code architecture descriptions and training methodologies.
Remote Sensing Image Classification Toolbox featuring multiple active learning algorithms based on Support Vector Machine classifiers with configurable hyperparameters and automated model optimization capabilities
Comprehensive Independent Component Analysis (ICA) package for blind source separation, featuring optimized algorithms and ready-to-use MATLAB/Python implementations
This repository contains all improved Particle Swarm Optimization (PSO) algorithms with detailed code implementations and comparative analysis to assist researchers and practitioners in optimization tasks.
MATLAB Source Code for Solving Knapsack Problem Using Genetic Quantum Algorithm
Implementation of particle swarm optimization algorithm for optimizing RBF neural networks, applicable to pattern classification and similar tasks with code-level parameter tuning and convergence strategies
Ready-to-run artificial neural network programs and training datasets after decompression