Professional MATLAB source code with comprehensive documentation and examples
A discrete Particle Swarm Optimization (PSO) algorithm routine for solving the Traveling Salesman Problem, featuring dynamic path string generation with built-in validity assurance mechanisms
Implementation of genetic algorithm for PID controller parameter optimization using MATLAB programming, applied to first-order plus time delay system control with step response simulation analysis.
Comprehensive exploration of the Ant Colony Clustering Algorithm with detailed source code analysis and implementation insights
MATLAB implementation of single-threshold image segmentation using genetic algorithm optimization, featuring efficient population initialization, fitness evaluation, and threshold selection mechanisms.
MATLAB implementation of a SOM-BP hybrid neural network with optimized architecture specifically designed for liver tumor image recognition, featuring enhanced feature extraction and classification capabilities.
A MATLAB-based handwritten digit recognition program using Backpropagation (BP) Neural Network algorithm for image classification and digit identification.
Implementation of Fuzzy C-Means Clustering Algorithm using both VC++ and MATLAB programming methodologies with enhanced code-specific descriptions
This MATLAB program provides extensive implementations of various genetic algorithms, featuring comprehensive coverage and high efficiency for optimization problem-solving.
MATLAB implementation of backpropagation algorithm for single-sample training in multilayer perceptron neural networks, featuring weight adjustment mechanisms and forward/backward propagation workflows.
Implementation and Applications of Affinity Propagation Clustering: Given a data matrix as input, the algorithm automatically determines the optimal number of clusters and assigns data points to appropriate categories based on similarity measures, wi
This implementation features code integrating Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) for enhanced Support Vector Machine (SVM) performance, providing an excellent machine learning solution with comprehensive optimization capabil
Single Hidden Layer Backpropagation Network Routine with Clear Implementation Details
Core implementation of wavelet neural networks for classification tasks, provided as reference material with detailed code annotations and examples.
This source code implements image fusion processing primarily through ensemble learning techniques such as bagging and AdaBoost, delivering exceptional results. The implementation includes robust algorithm integration and modular function design for
Classic MATLAB implementation of Hidden Markov Model (HMM) algorithm for pattern recognition and artificial intelligence applications, featuring complete training and recognition modules
Modeling nonlinear systems using 1500 datasets for network training and 500 datasets for testing. Since BP neural networks typically initialize weights and thresholds randomly, they often get trapped in local minima. This method employs genetic algor
Key concepts include immune recognition, immune learning, immune memory, clonal selection, individual diversity, distribution, and adaptability, with algorithmic implementations addressing pattern matching, optimization, and dynamic response mechanis
This program implements the Convolutional Neural Network (CNN) algorithm for deep learning, featuring separate training and testing modules with comprehensive functionality for model development and evaluation.
Organized BP neural network forum materials for beginners experiencing confusion, featuring practical code examples and algorithm explanations
Application of standard genetic algorithm to solve large-scale power system optimization problems with 40-node network configuration