Two-Dimensional Empirical Mode Decomposition
Two-Dimensional Empirical Mode Decomposition utilizing morphological extrema detection and radial basis function neural network fitting for accelerated signal processing.
Professional MATLAB source code with comprehensive documentation and examples
Two-Dimensional Empirical Mode Decomposition utilizing morphological extrema detection and radial basis function neural network fitting for accelerated signal processing.
Applying the simulated annealing optimization algorithm to solve a typical aircraft cruising problem by selecting the shortest flight path with code implementation insights
MATLAB implementation of the ELMAN neural network algorithm for fault pattern recognition with modular code structure and parameter customization
svmTrain Function - Support Vector Machine Training in MATLAB with Code Implementation Details
Implementing packet scheduling in switches using genetic algorithms to improve switching efficiency, reduce delay jitter, and minimize transmission delays, with code-level optimizations for resource allocation and performance enhancement.
Implementation of Ant Colony Algorithm for image denoising in wavelet domain, based on authoritative 2010 SCI international journal research with excellent performance results.
A MATLAB-based image segmentation program integrating spectral clustering with SVM, implementing an effective spectral clustering algorithm for robust data classification tasks with enhanced feature extraction and cluster optimization capabilities.
Research on PID parameter optimization design method for control systems using particle swarm algorithm and enhancements to PID control, with implementation insights including swarm initialization, fitness function evaluation, and velocity-position u
Source code and result data for Problem A (Supply Chain Network Establishment and Road Disruption) from the 2013 Northwestern Polytechnical University "Zhenghe Cup" Mathematical Modeling Competition. Algorithm: Genetic Algorithm-based Distribution Ce
Advanced spectral clustering-based algorithm designed for time series data clustering and image segmentation applications, accompanied by comprehensive documentation and implementation guidelines. This method utilizes eigenvalue decomposition of simi
RBF Neural Networks for Pattern Recognition with Implementation Insights
QR two-dimensional barcode pattern recognition effectively identifies barcode pattern information through image processing algorithms
Implementation of Resource Allocation Neural Network for Mackey-Glass Time Series Forecasting and Function Approximation with Algorithm Analysis
Implementation of Genetic Algorithms for Constrained Nonlinear Optimization in MATLAB with Code-Based Explanations
A MATLAB program for stock market prediction featuring selectable neural network architectures, designed for extensibility and cross-domain applications
A MATLAB-based BP neural network program capable of recognizing digits 0-9 across multiple font types, featuring a compressed network training file for efficient model deployment
DSST tracking algorithm implementation requires placing target sequence images in the sequences folder for video object tracking
Implementation algorithms for fuzzy clustering analysis with partial MATLAB source code included for practical understanding
Implementation of an improved niche genetic algorithm with complete source code using MATLAB, featuring enhanced population diversity management and multimodal optimization capabilities
This classic textbook "Dynamical Systems with Applications using MATLAB" provides comprehensive coverage of dynamical nonlinear systems theory for both discrete and continuous systems (including fractals, chaos, and nonlinear systems). The accompanyi