AdaBoost-Based Face Recognition System
A comprehensive face recognition program implementing the AdaBoost algorithm, including technical documentation and user manual with code implementation details
Professional MATLAB source code with comprehensive documentation and examples
A comprehensive face recognition program implementing the AdaBoost algorithm, including technical documentation and user manual with code implementation details
Power System Analysis - Forward-Backward Sweep Method with Algorithm Implementation
This MATLAB program implements a genetic algorithm to find the extreme values (minimum/maximum) of mathematical functions, featuring fitness evaluation, selection, crossover, and mutation operations with code-level implementation details.
This project implements digital image recognition through an improved Backpropagation (BP) neural network incorporating momentum term and variable step-size algorithms. The implementation includes train.m for network training with enhanced convergenc
This project includes: research paper on SVM for image classification using block partition feature extraction, with corresponding MATLAB implementation where image partitioning, feature extraction, and clustering are completed using MATLAB 6.5. The
Implementation of BP neural networks for Lucky 28 prediction, achieving approximately 40% prediction accuracy within acceptable tolerance ranges through backpropagation optimization and pattern recognition algorithms.
Hierarchical Clustering Method and Optimal Partitioning Application Development for Sample Clustering
My pattern recognition assignment featuring successful iris dataset classification using machine learning algorithms
MATLAB Implementation of C4.5 Decision Tree Algorithm with Code-Related Descriptions
MATLAB Implementation of TrAdaBoost Algorithm with Code Explanations and Performance Evaluation
Neural Network Support Vector Machine program for pattern recognition and stock index prediction, implementing hybrid ML approaches with computational efficiency
This MATLAB implementation demonstrates the immune clonal algorithm, an emerging and effective optimization technique that has gained significant research attention in recent years. The program includes key components such as antibody initialization,
This algorithm package contains practical implementations of hierarchical, K-means, and EM clustering algorithms with detailed code-related descriptions.
A MATLAB program for wind power forecasting that integrates neural networks with time series analysis methodologies.
Joint Approximate Diagonalization of Eigenmatrices (JADE) - An Independent Component Analysis (ICA) Method Implemented in MATLAB
A classic implementation of a niche genetic algorithm utilizing crowding mechanism for enhanced optimization performance
This paper addresses the computational intensity and prolonged runtime of traditional FCM algorithms by proposing an enhanced FCM approach. The method involves dividing images into window-sized sub-blocks, extracting feature vectors at the sub-block
Implementation of simulated annealing algorithm for community detection in complex networks using MATLAB
MATLAB program implementation for optimizing three PID controller parameters through genetic algorithm with fitness evaluation and evolutionary operations
LASSO program implementing the classic algorithm for data mining and feature selection with sparse regularization techniques