Professional MATLAB source code with comprehensive documentation and examples
A comprehensive implementation of the Grey Wolf Optimizer with excellent performance, clear interpretability, and promising potential for diverse engineering applications. Features step-by-step algorithmic explanations and key parameter configuration
Implementation of signal separation with FastICA algorithm, featuring two-input two-output configuration, successfully debugged and validated.
LIBSVM is a simple, easy-to-use, and efficient software package developed by Professor Lin Chih-Jen and team at National Taiwan University for SVM-based pattern recognition and regression. It provides both precompiled Windows executables and source c
A MATLAB-based outlier detection demonstration program suitable for data mining and statistical analysis, featuring algorithm implementations and visualization tools.
MATLAB code implementation of EM algorithm designed for unsupervised data clustering with parameter estimation capabilities.
Implementing function approximation with backpropagation neural networks without using MATLAB's Neural Network Toolbox to understand BP network principles, algorithms, and manual coding techniques
A novel intelligent optimization algorithm introduced in 2012, featuring swarm-based search mechanisms and explosive solution generation techniques
A neural network algorithm improved through genetic algorithm optimization, widely applicable for data prediction and analytical tasks with enhanced pattern recognition capabilities
MATLAB-implemented DBSCAN algorithm source code for clustering tasks, featuring density-based spatial clustering with noise handling and core point identification
SAR image change detection enables comparison of SAR images captured at different times from the same location, facilitating cluster analysis through pixel-wise differential processing and feature extraction algorithms.
Bayesian-based handwritten digit recognition algorithm implementation with complete source files. This project provides detailed algorithm explanations and demonstrates practical implementation using probability theory for digit classification. The c
MATLAB-based deep learning algorithm implementations with accessible source code, providing practical learning resources for mastering deep learning techniques through hands-on programming examples.
MATLAB source code implementation for pattern recognition and intelligent computing, featuring clustering analysis algorithms and handwritten digit classification systems with practical examples
Programming BP Neural Networks using MATLAB's Neural Network Toolbox with Implementation Details
This implementation utilizes quantum encoding for chromosome representation and employs genetic algorithm optimization techniques for function optimization, featuring quantum-bit encoding and genetic operators for solution space exploration.
The pulse-coupled neural network denoising algorithm delivers excellent noise reduction performance with robust signal enhancement capabilities
Applying simulated annealing method to solve nonlinear equations, featuring reduced computational complexity and accelerated convergence rates, with detailed code implementation strategies.
A collection of neural network control routines with detailed code implementations, suitable for reference in control system development. Includes practical examples demonstrating neural network applications in various control scenarios with algorith
Continuous Domain Optimization with Ant Colony Algorithm: Program Examples for Unconstrained Nonlinear Optimization Problems Based on Grid Partitioning Strategy
This repository contains MATLAB implementations of FCM (Fuzzy C-Means), GG (Gustafson-Kessel), and GK (Gustafson-Kessel variant) clustering algorithms, complete with PC (Partition Coefficient), PE (Partition Entropy), and XB (Xie-Beni) cluster validi