Professional MATLAB source code with comprehensive documentation and examples
This MATLAB toolbox provides comprehensive support vector machine (SVM) functionality for pattern classification, pattern recognition, and machine learning applications, featuring customizable kernel functions and optimization algorithms for robust m
Backpropagation Neural Network Algorithm for Classification and Recognition with Practical Code Implementation
Image classification method utilizing SVM kernel with implementation approach explanation
Implementation of Particle Swarm Optimization algorithm for binary problems using MATLAB programming language, including parameter tuning and visualization techniques
Executable Knapsack Problem Implementation with Genetic Algorithm
Well-organized pattern recognition source code implementing LLE (Locally Linear Embedding) and SVM (Support Vector Machine) methods, including SVMFWD functionality - thoroughly tested and error-free implementation ready for download
Implementation of predictive functionality using RBF artificial neural network intelligent algorithms with code-oriented methodology
Latest SVM Support Vector Machine MATLAB development toolbox! One type of algorithm - MATLAB routines/examples with implementation guidance.
Implementation of Fuzzy C-Means algorithm, a clustering method based on fuzzy mathematics with excellent practical application - featuring membership functions and iterative optimization for soft clustering.
Dual-Population Ant Colony Algorithm for Traveling Salesman Problem (TSP). Includes data files: "30-city TSP problem data with optimal solution.mat", "75-city TSP problem data.mat", and "442-city TSP data with algorithm comparison.mat" for algorithm
MATLAB implementation of fuzzy C-means clustering algorithm with detailed code explanations and practical applications
This research focuses on global path planning for robots in static environments. The methodology involves environment abstraction using grid-based modeling to construct the robot workspace, followed by implementation of Ant Colony Optimization (ACO)
MATLAB program for fuzzy clustering analysis methods, including data standardization, calibration, and clustering subroutines, with a practical example using graduate student exam scores.
MATLAB-implemented code for generating ROC curves and score distributions with built-in performance metrics calculation, suitable for pattern recognition researchers and machine learning practitioners.
Implement genetic algorithms for function extremum optimization directly executable in MATLAB, including key parameter configurations and algorithm modifications.
Simply input a vehicle image to observe a comprehensive graphical demonstration covering license plate detection, plate localization, character segmentation, and character recognition. This intuitive system provides complete MATLAB source code with i
Implementation of Generalized Predictive Control (GPC) algorithm using MATLAB with simulation examples including step and sine functions, featuring code structure and algorithm workflow descriptions
This one-vs-one support vector machine source code for multi-class classification problems is guaranteed to be executable with proper implementation.
MATLAB face recognition implementation using Haar-like features and Adaboost algorithm for robust detection and classification
Source code for mean shift clustering, implementing cluster analysis using the mean shift algorithm with result visualization capabilities; highly valuable for practical applications with detailed parameter configuration options.