Professional MATLAB source code with comprehensive documentation and examples
This article implements Dense SIFT for image feature extraction combined with Bag-of-Words (BoW) modeling. The BoW dictionary is constructed using only the training set since the test set is unavailable during development. The implementation covers B
Implementing Data Fitting and Predictive Control Using Neural Network Toolbox with Algorithm Explanations
This implementation utilizes ant colony optimization for image edge detection, employing four distinct kernel functions for segmentation to generate comparative results and evaluate performance differences.
MATLAB implementation of the multi-objective optimization algorithm NSGA-II using Genetic Algorithm (GA) with detailed code structure and algorithmic explanations
Character recognition based on Backpropagation Neural Networks. The BP neural network algorithm transforms input-output sample problems into nonlinear optimization problems and solves weight values through iterative gradient descent operations. This
High-performance RPSO implementation with enhanced convergence capabilities
This package implements a particle swarm optimization algorithm to find minimum and maximum values of 16 classical test functions, featuring an intuitive user interface with real-time dynamic 2D visualization that demonstrates how particle swarms nav
MATLAB implementation of Parzen window estimation for pattern recognition with density estimation and classification capabilities
This resource contains valuable MATLAB programs implementing genetic algorithms, featuring comprehensive code demonstrations for crossover, mutation, and selection operations with practical application examples.
Classification using Radial Basis Function (RBF) Neural Networks with implementation insights
This user-friendly program features an intuitive graphical interface for loading images and training Hopfield neural networks. The implementation allows adding noise to test pattern recognition rates, employing Hebbian learning rules for weight matri
Immune Genetic Algorithm for population optimization - MATLAB program implementation with comprehensive references for further study.
A genetic neural network-based pattern recognition algorithm designed for equipment fault diagnosis applications, combining evolutionary optimization with neural network learning capabilities
Develop a K-means clustering algorithm program to perform cluster analysis on the data shown in the figure below (select k=2), including centroid initialization and iterative optimization steps
This program utilizes genetic algorithms to optimize PID controller parameters, implementing evolutionary computation techniques for control system tuning.
Implementation of Dual-Chain Quantum Genetic Algorithm (DCQGA) for finding extremes of the F6 function, where the maximum value of 1 occurs at point (0,0). The algorithm employs quantum-inspired operations including rotation gates and quantum crossov
MATLAB-based implementation of Self-Organizing Map (SOM) neural network for classification tasks
A globally convergent PSO algorithm designed for intelligent computing development, featuring enhanced optimization capabilities through swarm intelligence principles
Complete source code for reinforcement learning simulation featuring a graphical user interface, designed for RL researchers to conduct experiments and analyze results with intuitive parameter controls
This source code performs Ncut-based image segmentation while integrating feature extraction and SVM classification capabilities for comprehensive image analysis.