Professional MATLAB source code with comprehensive documentation and examples
This is a particle swarm optimization toolbox available for download. Contains implementations for artificial intelligence/neural networks/deep learning applications with modular algorithm structures and configurable parameters.
Implementation of Particle Swarm Optimization for benchmark functions including Sphere, Rosenbrock, Ackley, and Griewank with code-level insights
MIT AI Laboratory's object recognition source code, implemented in MATLAB, is highly suitable for computer vision research, featuring practical algorithm implementations and core computer vision techniques.
The Maximum Minimum Distance Clustering Algorithm performs cluster analysis on one-dimensional or two-dimensional signals, particularly effective for well-separated binary classification scenarios.
MATLAB coding using Particle Swarm Optimization (PSO) algorithm for power generation unit commitment with cost minimization and constraint satisfaction
This MATLAB code implements an adaptive genetic algorithm that addresses the common issue of premature convergence. While adaptive GA offers faster convergence speeds, the implementation includes a premature convergence detection flag and threshold m
nnToolKit is a self-developed neural network algorithm function library built upon MATLAB's Neural Network Toolbox. All functions can execute independently within the MATLAB environment and can be packaged into DLL components. These components serve
While SVM is typically applied to binary classification, this code utilizes Chih-Jen Lin's SVM toolkit for multi-class classification. The implementation is tested on the UCI IRIS dataset, demonstrating excellent performance through one-vs-one strate
Implementation of GA-BP hybrid algorithm combining genetic optimization with backpropagation neural networks, with comparative analysis against standard BP algorithm performance
This algorithm delineates the complete implementation workflow of the quantum genetic algorithm, with verified correctness through execution.
MATLAB source code for PID control tuning using BP neural networks with integrated algorithm implementation
MATLAB data mining algorithms featuring CART decision tree for multi-class classification. Decision tree algorithm implementation with practical classification capabilities.
ISODATA Clustering Algorithm Demonstration Program implemented strictly according to Algorithm 3 in Section 2.4.4 "Dynamic Clustering Method" from Sun Jixiang's "Modern Pattern Recognition". Uses Euclidean distance as the measurement metric with conf
Implementation of simulated annealing algorithm for solving the traveling salesman problem with twenty cities, featuring optimal path selection and code optimization strategies
MATLAB-based pattern recognition toolbox featuring original source code with comprehensive algorithms for classification, clustering, and feature extraction
Implementation program for initial population generation in classical genetic algorithm toolbox with enhanced technical specifications
The neural network adopts a 4-5-3 architecture with a learning rate of 0.28, momentum coefficient of 0.04, and initial weight values randomized between -0.5 and 0.5. This configuration uses a feedforward design where the input layer processes 4 featu
Face feature extraction and recognition using Support Vector Machine (SVM) implemented in MATLAB, complete with performance analysis and detailed results evaluation.
Fuzzy PSO Algorithm Simulation Source Code, implementing fuzzy ant colony optimization algorithm simulation with hybrid swarm intelligence techniques.
This comprehensive implementation includes the most complete fish swarm algorithm program currently available, featuring detailed code architecture and optimization techniques.