Professional MATLAB source code with comprehensive documentation and examples
A MATLAB-based computational program implementing Mie theory for spherical particle scattering analysis, widely used in photonics research with user-friendly implementation and comprehensive scattering parameter calculations.
A self-implemented program that utilizes genetic algorithms to optimize SVM parameters, featuring clear code structure and comprehensive documentation for easy understanding
Image segmentation represents a critical research domain in image processing, serving as the foundational step for image analysis. Its primary objective is to extract target objects of interest from images. While numerous scholars worldwide have prop
Course materials from data mining class covering EM algorithm implementation, maximum likelihood estimation principles, and cluster analysis techniques with code-related explanations
This implementation utilizes genetic algorithms to determine the optimal threshold for road image segmentation, employing Otsu's maximum inter-class variance method as the selection criterion, with program execution achieving highly satisfactory segm
Implementing EM Algorithm using MATLAB for clustering analysis with code examples and algorithm explanations
SVM NU classification source code for SVM classification programming, similar to SVM C implementation with NU parameter control
MATLAB-based source code implementation for image segmentation utilizing genetic algorithms, suitable for both 1D and 2D segmentation. Features optimized population initialization, fitness function design for pixel classification, and crossover/mutat
An effectively applied Artificial Fish Swarm Algorithm demonstrating strong performance in optimization problems through behavioral simulation and iterative refinement.
Implementation of QPSO Algorithm for Large-Scale Power System Optimization with 40-Node Case Study
GA (Simple Genetic Algorithm) is a powerful intelligent multivariable optimization algorithm that mimics population reproduction dynamics for optimization. This SGA implementation supports variable optimization for both minimization and maximization
MATLAB implementation of a three-layer backpropagation neural network featuring configurable input/output parameters, training algorithms, and activation functions for flexible neural network design.
This is an SVM classifier designed for classifying training samples in pedestrian detection applications, featuring direct MATLAB implementation with built-in support for key machine learning functions.
A practical implementation of Particle Swarm Optimization algorithm applied to dynamic deployment of wireless network nodes, with graphical and tabular results visualization
This MATLAB program enables comparative analysis of different neural network approaches for time series forecasting, specifically designed for wind speed prediction with multi-hour ahead forecasting capabilities. The implementation includes various n
Comprehensive coverage of various data standardization methods for fuzzy clustering analysis, along with different approaches for constructing fuzzy similarity matrices, including implementation techniques and algorithmic considerations.
MATLAB implementation of freight volume prediction based on BP neural network with data preprocessing, model training, and performance optimization techniques.
Implementing 10-fold cross validation to evaluate test accuracy, training accuracy, and validation accuracy of a neural network with algorithmic implementation details.
Multiple optimization algorithms for Traveling Salesman Problem including Ant Colony Optimization, Particle Swarm Optimization, Genetic Algorithm, and more, with code implementation approaches
MATLAB implementation of the Artificial Bee Colony algorithm with code optimization and parameter adjustment strategies