Professional MATLAB source code with comprehensive documentation and examples
This algorithm addresses the missile target assignment problem through genetic algorithm optimization, which satisfies fundamental assignment principles while maximizing overall operational effectiveness. The implementation includes chromosome encodi
Implementation of genetic algorithm for finding function extrema, ready to run directly in MATLAB with comprehensive code structure documentation.
Custom-developed PSO-optimized RBF neural network program with guaranteed functionality. This implementation features parameter optimization through particle swarm algorithms for improved prediction accuracy. Suitable for data forecasting and pattern
Implementation of chaos-based simulated annealing optimization algorithm, a computational optimization technique developed for undergraduate thesis project
A function optimization implementation using genetic algorithms to find minimum values, developed with MATLAB programming
Comprehensive wavelet neural network implementation featuring robust architecture and efficient training algorithms, ideal for studying neural network integration with wavelet transform techniques for enhanced signal processing capabilities.
Fuzzy clustering image segmentation, also includes spectral clustering and its enhanced version based on a PR2010 paper
MATLAB source code implementation for robotic arm control using CMAC (Cerebellar Model Articulation Controller) neural network, featuring nonlinear mapping capabilities and pattern recognition algorithms
The state-of-the-art SVM toolbox featuring advanced waveform and image processing functionalities with robust algorithm implementations
Source code implementing genetic algorithm for function optimization, calculates optimal solution and iteration count with detailed algorithmic implementation
A comprehensive guide featuring MATLAB code implementation for immune genetic algorithms, including fitness function design, parameter configuration, and optimization techniques.
MATLAB-based multi-objective optimization implementation utilizing Particle Swarm Optimization algorithm, specifically designed for power system optimization problems with enhanced parameter tuning and fitness function evaluation capabilities
Implementation of data classification through BP neural network using MATLAB programming approach
LSSVM program utilizing Particle Swarm Optimization algorithm for model parameter tuning with enhanced convergence and generalization capabilities
A hybrid particle swarm optimization algorithm that accelerates convergence through simplex method integration, featuring population-based search with code-implementable velocity update mechanisms
Introductory Particle Swarm Optimization (PSO) program for maximizing an example function, featuring comprehensive code annotations and implementation details.
One of the artificial neural network experiments that implements Hopfield network to solve the Traveling Salesman Problem. The package includes complete documentation covering algorithm theory, problem formulation, experimental results, and analysis,
A comprehensive MATLAB program for traditional genetic algorithms featuring selection, crossover, and mutation operations with detailed code implementation.
Step-by-step explanation of genetic algorithm implementation through a simple case study
A MATLAB-based program that trains BP neural networks using Particle Swarm Optimization (PSO) algorithm, featuring simple and practical code implementation with enhanced training efficiency.