Professional MATLAB source code with comprehensive documentation and examples
A complete collection of backpropagation algorithm resources featuring MATLAB, C, and C++ source code implementations, including complete BP neural network programs with detailed algorithmic explanations and key function descriptions.
Enhanced genetic algorithm program for optimal parameter selection with improved performance and practical usability
Implementation of Ant Colony Algorithm for Quality of Service Multicast Routing
SVM source code implemented in MATLAB for support vector machines, designed for feature classification and extraction tasks with customizable parameters and algorithm optimizations
A comprehensive guide to Multilayer Perceptron neural networks with code implementation details.
Multi-objective optimization with genetic algorithms, suitable for researchers studying multi-objective optimization problems with practical MATLAB code examples
Interface between SVM-light and MATLAB enabling direct calling within MATLAB environment - valuable for streamlined machine learning workflows
Typical applications of simulated annealing algorithm in image processing with MATLAB programming implementations
The multi-objective implementation in this particle swarm algorithm is achieved through for-loop iterations, handling multiple fitness functions simultaneously during the optimization process.
"BP.m" contains the complete source code for the BP neural network model; "train.fig" shows the final training visualization; "population_data_original.fig" displays prediction result graphs; "matlab_command_window_output.txt" captures console messag
The UCI Machine Learning Repository provides source data for character recognition research, serving as a critical resource for developing OCR algorithms. Includes handwritten digits and printed letters datasets, essential for training machine learni
A comprehensive example of fuzzy neural network implementation, complete with customizable code structure and parameter tuning guidance for practical project adaptation
Time series prediction implementation using wavelet neural networks with MATLAB code
The GMM-based Probabilistic Neural Network (PNN) demonstrates exceptional generalization capabilities, rapid learning efficiency, easy online updating, and is grounded in Bayesian estimation theory from statistics. It has become a highly effective to
This model implements a Multilayer Perceptron (MLP), a fundamental type of artificial neural network designed for supervised classification tasks on dataset training.
Integration of Immune Algorithm and Particle Swarm Optimization for Solving Multi-Objective Reactive Power Optimization Problems with Code Implementation Strategies
This program implements gesture recognition using the ADABOOST algorithm in MATLAB environment, featuring ensemble learning with weak classifier combination and performance optimization through weighted error minimization.
A practical demonstration of RBF neural network implementation using the IRIS dataset for multi-class classification
Implementation of an AdaBoost-based linear threshold classifier in MATLAB - Combining weak classifiers to create a strong classifier through iterative weight adjustment
Implementation of Hopfield neural network for solving the Traveling Salesman Problem (TSP) to find optimal routes among six cities: Beijing, Tianjin, Shijiazhuang, Taiyuan, Hohhot, and Shanghai.