Professional MATLAB source code with comprehensive documentation and examples
Solving the Traveling Salesman Problem (TSP) using genetic algorithms addresses one of the most famous challenges in mathematical optimization. The problem involves a salesman who must visit n cities exactly once and return to the starting city, aimi
Neural networks excel in nonlinear mapping capabilities. This implementation uses Elman recurrent neural networks for SSE opening price prediction with demonstrated efficiency and accuracy, featuring sliding window data preprocessing and backpropagat
This content covers the origin, research status, and mechanism of Ant Colony Optimization (ACO); complexity analysis of ACO; convergence proof of ACO; the impact of ACO parameters on performance; parameter selection principles for ACO; improvement st
This implementation employs a three-layer BP neural network with optimized architecture using empirical formulas for hidden layer node calculation and parameter tuning, achieving robust handwritten digit recognition through systematic training and im
Code implementation for multi-objective optimization using genetic algorithms with detailed tutorial explanations. For high-resolution tutorials beyond file size limitations, please contact the author for additional materials.
Hierarchical clustering in pattern recognition with practical MATLAB code examples using custom implementations instead of built-in functions, covering algorithm principles and key computational steps
A MATLAB-based program implementing genetic algorithm for effective image segmentation with enhanced optimization capabilities
Implementation of immune algorithm for fitting complex planar surfaces with multiple peaks and extreme values, featuring code-level optimization strategies and antibody-antigen interaction simulation.
An image segmentation technique known as pixel clustering region growing, which initiates from a seed pixel and incorporates neighboring pixels with similar attributes—such as average grayscale, texture patterns, and color characteristics—into the ta
Content-based feature extraction for image recognition - segmenting images using k-means clustering to obtain shape information and other key features
Ant Colony Optimization-based 3D Path Planning Algorithm - Case Background: Three-dimensional path planning refers to finding an optimal path from a starting point to a destination in a known 3D map that satisfies certain optimization criteria while
Implementation of Ant Colony Algorithm for Robot Path Optimization: (1) Represent the robot's navigation map using grid cells (2) Initialize pheromone matrix, set start/end points, and configure algorithm parameters (3) Calculate transition probabili
MATLAB code for adaptive genetic algorithm implementation with detailed technical explanations
MATLAB Genetic Algorithm Toolbox (includes comprehensive documentation) with implementation guidance and function descriptions
A compact MATLAB program demonstrating BP neural network prediction, featuring algorithm explanations and key function descriptions for reference and learning purposes
The MATLAB Clustering Analysis Toolbox is highly efficient and user-friendly, offering various clustering algorithms and functions for data analysis implementation.
Complete MATLAB source code implementation for Self-Organizing Map (SOM) neural network design with detailed algorithm explanations and practical applications
This implementation solves the 0-1 knapsack problem using simulated annealing optimization. The downloadable code is ready-to-run and includes temperature scheduling, neighbor state generation, and acceptance probability functions. Ideal for research
Implementation of 50-dimensional function optimization using genetic algorithms, featuring straightforward code structure ideal for beginners. The solution demonstrates key genetic operations including selection, crossover, and mutation with clear va
This MATLAB program implements a chaotic neural network that can be used for prediction and modeling tasks using chaotic neural network algorithms.