Professional MATLAB source code with comprehensive documentation and examples
Code implementation of function optimization algorithms based on fish swarm optimization technique. For detailed explanations and comprehensive tutorials, please refer to the included documentation. Due to file size limitations, contact me at 1066146
A detailed technical analysis covering libsvm's structural parameters, kernel functions, SVM prediction mechanisms, and training processes with code implementation insights
Implementing personal credit evaluation for bank clients using BP neural networks with approximately 70% accuracy rate
A compact MATLAB-based Support Vector Machine implementation for predictive modeling using Least Squares (LS) optimization
The CLIQUE clustering algorithm is a grid-based and density-driven method designed specifically for clustering in high-dimensional data spaces, automatically identifying clusters without requiring pre-specified cluster counts.
SVM-DTC Based Direct Torque Control for Permanent Magnet Synchronous Motors with machine learning optimization for improved torque precision and dynamic response
Self-developed genetic algorithm PID controller with excellent simulation performance, now integrated into our company's advanced PID control systems. The implementation features population-based optimization with fitness evaluation, crossover, and m
A comprehensive approach for image segmentation using genetic algorithms with code implementation insights and optimization techniques.
Implementation of a movie recommendation system in MATLAB utilizing collaborative filtering matrix algorithms, with MAE validation on a large-scale dataset (943 users, 1687 movies). Features file-based data handling, clustering analysis for method co
Implementation of PSO-ACO hybrid algorithm for discrete optimization problems, featuring application to German credit database with code integration examples
A comprehensive program implementing RBF networks for function approximation! Contains multiple algorithms including radial basis function implementations, learning mechanisms, and parameter optimization techniques.
A robust SVM classification program capable of multi-class classification, directly executable on MATLAB platform with verified performance
Application Background Developed by Sun Chengyi et al. in 1998, the Mind Evolutionary Algorithm (MEA) serves as an effective optimization technique. This chapter details MEA's fundamental concepts and implements the algorithm in MATLAB through a nonl
This program extracts HOG and LBP features from positive and negative sample images, trains a classifier using Support Vector Machines, and implements pedestrian detection. Implementation details include feature vector extraction algorithms, SVM trai
svmTrain program learning provides excellent opportunities for beginners, offering significant assistance in understanding Support Vector Machine implementation through practical coding exercises.
Implementation-ready prediction commands applicable to BP, Elman, RBF, and GRNN neural networks with algorithmic enhancements
This ant colony optimization algorithm is specifically designed for solving the Traveling Salesman Problem (TSP), demonstrating excellent optimization efficiency and robust performance.
Implementation of maximum between-class variance multi-threshold image segmentation utilizing organizational particle swarm optimization algorithm with detailed code methodology
This is an author-developed program written in MATLAB language, implementing an immune genetic algorithm for optimization problems. Includes algorithm design and code architecture descriptions.
Monte Carlo light scattering simulation program with randomly distributed particles, ready-to-run implementation. Includes simplified documentation with key algorithmic insights and function descriptions.