Professional MATLAB source code with comprehensive documentation and examples
This tutorial demonstrates PID controller optimization using Particle Swarm Optimization (PSO) algorithm with detailed MATLAB implementation examples, including parameter tuning strategies and convergence analysis. For high-resolution tutorial materi
MATLAB source code for BP neural network with simulation capabilities, featuring network training, testing, and data preprocessing functionality
MATLAB source code for the fundamental Particle Swarm Optimization algorithm with customizable fitness function, providing a flexible framework for optimization problems
This source code implements RBF network training using custom gradient descent algorithm
Implementation of Adaboost algorithm for video tracking with automatic weak classifier updates. The system requires manual object definition by users (no automated recognition). The tracker handles diverse object types without constraints on size or
Support Vector Machine implementation using MATLAB programming language, featuring straightforward code examples and detailed documentation in Word format
Integrating data from multiple sensors over several time cycles to enable comprehensive decision-making through advanced algorithmic processing
MATLAB source code for workshop layout optimization using genetic algorithms. Workshop layout optimization involves strategically arranging processing equipment, material handling systems, work units, and aisle corridors within a limited production s
Small code snippets from "Pattern Recognition" course assignments, shared for readers' reference and practical implementation
A MATLAB library for rough set attribute reduction (contains examples, original implementation) featuring core M-file functions: TargetOptFcn.m - objective function for genetic algorithm optimization; PositiveRegion.m - computes positive region; Lowe
Sparse Representation, Convex Optimization, and Low-Rank Representation for Clustering Analysis
MATLAB source code implementation of an enhanced genetic algorithm incorporating quantum gate operations for complex optimization problems.
Implementation of PID control using BP neural networks with automatic parameter adjustment capabilities through machine learning
Implementation of image segmentation through hybrid clone selection and particle swarm optimization algorithms, demonstrating superior segmentation performance validated through multiple experimental trials.
MATLAB implementation of the Fuzzy C-Means (FCM) clustering algorithm with detailed code structure and parameter explanations
The MATLAB implementation of image compression and reconstruction involves: ① Performing wavelet decomposition to obtain first-level low-frequency and high-frequency coefficients ② Retaining low-frequency coefficients while compressing high-frequency
Implementation of Particle Swarm Optimization for PID Controller Tuning with Code Integration
Study on Ant Colony Algorithm Implementation for Continuous Domain Optimization with Code Integration Strategies
MATLAB implementation of a multicast routing algorithm with QoS constraints using a hybrid genetic algorithm and simulated annealing optimization technique
Support Vector Machine (SVM) classification algorithms represent a relatively recent advancement in pattern recognition within artificial intelligence, offering robust solutions for complex classification tasks through kernel-based transformations an