Implementation of the Classic C-Means Algorithm in Artificial Intelligence
Implementation of the classic c-means algorithm in artificial intelligence with MATLAB matrix-based data storage, offering superior efficiency compared to VC implementations
Enhanced Fuzzy C-Means Clustering Using Genetic Algorithm with MATLAB Implementation
MATLAB source code for fuzzy C-means clustering optimized with genetic algorithm - executable program requiring format modifications for improved readability and maintainability
Motion Segmentation and Face Clustering Based on Low-Rank Representation
MATLAB implementation for motion segmentation and face clustering using low-rank representation algorithms, featuring optimized code structure and practical examples
Optimizing BP Neural Network Weights and Thresholds Using Genetic Algorithms
Training BP Neural Network Weights and Thresholds with Genetic Algorithm Optimization
MATLAB Implementation of Support Vector Machine with Iris Dataset Classification
This custom MATLAB implementation of Support Vector Machine (SVM) demonstrates effective pattern recognition when tested on the iris dataset, achieving excellent classification performance through optimized feature analysis and prediction mechanisms.
Adaptive Inverse Vibration Control Technology Based on Neural Network Online Identification
Adaptive inverse vibration control technology utilizing neural network online identification for effective application in nonlinear system control, with implementation insights including real-time parameter updates and inverse model compensation.
Optimizing PID Controller Design Using Particle Swarm Optimization Algorithm
Implementation of PID controller optimization design through Particle Swarm Optimization algorithm using MATLAB with code-driven parameter tuning
Artificial Neural Network MATLAB Implementation
Artificial Neural Network MATLAB Source Code: This MATLAB program implements artificial neural network functionality with core algorithms including forward propagation, backpropagation, and activation functions.
Support Vector Machine Demonstration for Classification Problems
A comprehensive demonstration program showcasing Support Vector Machine applications in classification problems, featuring both linear and non-linear implementations with practical code examples.
Breast Cancer Dataset for Machine Learning Research
The breast cancer dataset serves as a critical benchmark for studying support vector machines, sample selection methods, and kernel methods in machine learning applications.
Chaotic Particle Swarm Optimization Algorithm: Principles and Applications
Chaotic Particle Swarm Optimization Algorithm and its Basic Implementation with Code-Oriented Explanations
Principles and Methods of ART Neural Networks with MATLAB Implementation
Comprehensive exploration of ART neural network principles, methodological approaches, and practical MATLAB implementation with detailed examples and code demonstrations
2D Dataset Parzen Window Non-Parametric PDF Estimation with 3D Visualization
Implementation of Parzen window non-parametric probability density function estimation for 2D datasets, featuring 3D visualization results. Includes complete documentation, program execution instructions, MATLAB source code, and graphical outputs. De
Handwritten Digit Recognition Using Probabilistic Neural Networks
Handwritten character recognition falls within the domain of optical character recognition, employing probabilistic neural networks as classifiers to categorize handwritten digits represented as binary images. The resulting classifier achieves 100% a
Solving the 76-City TSP Problem Using Ant Colony Algorithm in MATLAB
MATLAB implementation of ant colony optimization algorithm for solving the 76-city Traveling Salesman Problem, achieving near-optimal global solutions suitable for advanced practitioners and researchers.
Data Clustering Analysis Using Gaussian Mixture Models
MATLAB implementation for data clustering analysis using Gaussian Mixture Models, featuring the Statistics and Machine Learning Toolbox with comprehensive code examples
Moment Method Computation Using Genetic Algorithm Optimization
A computational program combining genetic algorithm optimization with the moment method for antenna structure design and performance enhancement
Finding Extrema Using Genetic Algorithms
Please review my implementation of a genetic algorithm designed to optimize the function f(x) = x*sin(10π*x) + 2.0, with x constrained to the interval [-1, 2]
MATLAB Implementation of Support Vector Machine Method
Support Vector Machine method implemented in MATLAB for classification detection, pattern recognition, and face detection applications with code-based implementation details
Wind Speed Prediction Using PSO+BP Algorithm with Data Preprocessing
Wind speed prediction using PSO+BP algorithm begins with comprehensive data preprocessing, followed by PSOBP simulation prediction analysis, algorithm implementation considerations, and model optimization techniques.