Professional MATLAB source code with comprehensive documentation and examples
A ready-to-use MATLAB-based artificial neural network program featuring intuitive implementation, easy-to-understand code structure, and immediate functionality for various machine learning applications.
Perform color space segmentation on images followed by cluster analysis. The code is straightforward and ready to execute, utilizing algorithms like K-means for color clustering with practical implementation insights.
MATLAB implementation of the Fuzzy C-Means clustering algorithm with comparative analysis of classical program variations
Development of a Reactive Power Optimization Configuration Calculation Program, Introducing Genetic Algorithm Applications for Power Flow and Reactive Power Optimization
Comprehensive source code implementations of various Pulse Coupled Neural Network (PCNN) algorithms, including: image enhancement, filtering, edge detection, and image segmentation with detailed code structure explanations
A comprehensive collection of artificial intelligence algorithms covering various applications including function optimization, image recognition, and clustering. Implemented using MATLAB programming with included sample datasets for practical experi
Optimizing the function f(x) = Σ(i=1 to n) x_i * sin(√|x_i|) using genetic algorithm to obtain convergence values, with visualization through 3D plots and fitness evolution curves.
Decision Tree - A Highly Classical Machine Learning Algorithm Implementation with MATLAB Code Examples
Implementation of fuzzy neural networks for function approximation and classification with fuzzy rule extraction capabilities
This project provides a MATLAB implementation of a face detection algorithm utilizing the AdaBoost method, offering valuable insights for developers working on computer vision applications with feature selection and classifier training processes.
A DV-Hop program implementing basic network node localization with Particle Swarm Optimization (PSO) improvements for enhanced accuracy.
Distribution network reconfiguration program for 33-node systems, implemented with Particle Swarm Optimization algorithm. The solution demonstrates excellent computational efficiency, though source code modification is required for data regeneration
A well-structured implementation of immune clone algorithm for function optimization, featuring robust code architecture and comprehensive testing guarantees.
Implementing logical AND and logical OR operations through linear predictive classifiers in pattern recognition with MATLAB code implementation, algorithm explanation, and key function descriptions
Implementation of SIFT feature extraction from images with clustering capabilities for visual dictionary generation. Includes comprehensive code annotations and technical documentation. This proven codebase handles all SIFT-related image processing t
A practical fuzzy neural network implemented in MATLAB language, ready for immediate deployment with comprehensive code structure and modular design.
MATLAB-coded Backpropagation Neural Network Algorithm with detailed implementation
RBF neural network prediction program implementing a two-stage workflow of first building the model then performing predictions, demonstrating excellent accuracy with practical code implementation examples
A MATLAB-based handwritten digit recognition system utilizing Backpropagation Neural Network, featuring interactive input canvas, feature extraction algorithms, neural network model training, and real-time digit classification capabilities. Complete
A speaker recognition program implementation based on Wavelet Neural Network PNN, featuring voice signal processing and pattern recognition capabilities with practical code examples for biometric authentication applications.