Professional MATLAB source code with comprehensive documentation and examples
This program performs statistical analysis of trained skin color clustering in the YCbCr color space and constructs a 1D Gaussian model for precise skin segmentation. The implementation involves calculating color distribution patterns and applying pr
High-quality MATLAB code for Particle Image Velocimetry (PIV), successfully tested under MATLAB R2010a, featuring cross-correlation analysis and vector field computation algorithms.
An enhanced genetic algorithm incorporating information entropy principles and population concentration-based update operators for improved diversity and performance.
Optimizing BP Neural Network Training with Particle Swarm Optimization Algorithm - MATLAB Code Implementation and Performance Analysis
This package contains MATLAB demonstration programs from the book "Neural Network Design" by Martin T. Hagan, Howard B. Demuth, and Mark H. Beale, featuring practical code examples covering various neural network architectures, training algorithms, a
Implementing license plate recognition with neural networks involves image binarization as preprocessing, followed by iterative training to establish a recognition network that meets specific performance requirements.
An MIT-developed AdaBoost algorithm demonstration program featuring well-structured code ideal for beginners seeking rapid understanding of the algorithm, includes comprehensive documentation with implementation insights.
Genetic Algorithms (GAs), proposed in 1962 by Professor Holland at the University of Michigan, are a parallel stochastic search optimization method that simulates natural genetic mechanisms and biological evolution. This approach introduces the biolo
Complete source code for genetic algorithm implementations in route planning and path planning applications, featuring comprehensive algorithm explanations and key function descriptions for collaborative learning
Application of RBF Neural Network in Transformer Fault Diagnosis - Complete MATLAB program with data preprocessing, network training, and fault classification modules for practical implementation.
MATLAB implementation of Probabilistic Neural Network (PNN) with detailed code explanations and algorithmic insights
Implementation and Analysis of Logistics Distribution Route Planning with Simulated Annealing and Genetic Algorithm Hybrid Approach
Source code for classification and function regression using Support Vector Machines (SVM), including practical examples that can be easily adapted through straightforward modifications.
Hard-to-find Niche Genetic Algorithm Toolbox - Sharing this valuable resource with detailed implementation insights for genetic algorithm optimization with niche techniques
The particle swarm optimization algorithm based on simulated annealing generates a new position through small-scale random perturbations and calculates fitness values for both old and new positions. Following the Metropolis acceptance criterion of si
MATLAB simulation implementation for facial age estimation based on Support Vector Machine (SVM) algorithm with code-level implementation details.
Implementation of particle swarm optimization for BP neural networks in boiler combustion optimization, featuring detailed code explanations, simulation diagrams, and algorithm workflow. The program uses function-based naming convention - simply rena
The IRIS dataset is primarily employed in clustering methods for pattern recognition and image segmentation tasks, with implementations often involving algorithms like K-Means or hierarchical clustering.
A graduate-level assignment on nonlinear classifiers in pattern recognition from Tsinghua University, featuring comprehensive problem analysis with practical code implementation insights.
Optimization Toolbox, Particle Swarm Optimization Toolbox, University of North Carolina Genetic Algorithm Toolbox, University of Sheffield Genetic Algorithm Toolbox - with implementation approaches and key functions