Professional MATLAB source code with comprehensive documentation and examples
Denoised images with varying noise intensities, using Particle Swarm Optimization (PSO) to optimize structural elements, finding optimal structuring elements for image denoising operations to achieve maximum Peak Signal-to-Noise Ratio (PSNR)
Online PID tuning leveraging neural networks' self-correction and self-learning functions
This project implements a Support Vector Machine (SVM) algorithm in MATLAB, performing binary classification between two distinct point classes and presenting graphical visualization of the classification results. The implementation includes key SVM
Fuzzy Neural Network Prediction Algorithm for Jialing River Water Quality Evaluation - Integration of Fuzzy Logic and Neural Network Approaches with Implementation Details
MATLAB implementation of artificial neural network for license plate image segmentation, featuring character-background separation and preprocessing techniques
Implementation of Fast Independent Component Analysis (ICA) methods with demonstrated effectiveness in signal separation applications
An improved MATLAB implementation of the Artificial Fish Swarm Algorithm, optimized for solving real-world engineering problems through swarm intelligence optimization techniques.
Powerful Genetic Algorithm Toolkit! University of Sheffield's Genetic Algorithm Toolbox with Comprehensive Optimization Capabilities
Comprehensive introduction to AdaBoost algorithm for machine learning beginners, covering fundamental principles, practical applications, and code implementation strategies
Comprehensive Explanation of MATLAB Genetic Algorithm Toolbox Functions with Implementation Examples and Code Descriptions
MATLAB implementation for image fusion combining curvelet transform with genetic algorithm optimization
A comprehensive MATLAB toolbox featuring Self-Organizing Maps (SOM) networks, Rival Penalized Competitive Learning (RPCL) clustering, and other competitive learning implementations with detailed code examples and algorithmic explanations.
Recursive Neural Network Fault Diagnosis offers valuable insights into network behavior analysis, featuring practical code implementations for error tracing and system stability enhancement.
Implementing logistic chaotic search to improve traditional Particle Swarm Optimization (PSO) for multi-objective decision-making applications
This is a radial basis function neural network implementation that approximates a two-dimensional function using RBF network learning algorithms, with weight adjustments performed through the LMS algorithm. The implementation includes Gaussian activa
Fuzzy control method for flexible manipulators under pulse disturbance. Utilizes a T-S fuzzy controller trained via neural networks, demonstrating excellent control performance. Includes both simulation modules and text-based explanations with code i
Implementation of various threshold-based image segmentation techniques in MATLAB, including Otsu's method, maximum entropy thresholding, and clustering-based approaches, complete with algorithm explanations and key function descriptions.
GestureStudy implements a BP neural network-based mouse gesture recognition system featuring algorithm implementation, neural network training processes, and validation experiments for human-computer interaction applications
Simpson double integral numerical algorithm with comprehensive code annotations
An implementation of online SVM that enables dynamic modeling through selective sample retention and removal. This code requires SVM toolbox support and includes both the toolbox components and source code for the online SVM algorithm, featuring incr