Professional MATLAB source code with comprehensive documentation and examples
Successfully implemented license plate localization, character segmentation, and neural network-based character recognition functionality with executable code implementation.
Solving the TSP Problem with Neural Network Approaches – Implementation Insights and Algorithm Overview
Servo motor neural network parameter self-tuning program utilizing BP error backpropagation algorithm to dynamically adjust PID control parameters for superior control performance
A simulation program for a new shortest path planning algorithm that utilizes Ant Colony Optimization (ACO) for pathfinding solutions
Implementation of 2D nonlinear function approximation using fuzzy neural networks with MATLAB files, accompanied by comprehensive documentation.
MATLAB implementation of Particle Swarm Optimization algorithm applied to optimize K-means clustering. Successfully tested on MATLAB 6.5/7.1 versions (other versions not verified). The code integrates PSO's global search capabilities with K-means clu
Traveling Salesman Problem: The TSP aims to find the shortest possible route that visits each city exactly once from a given set of cities and returns to the origin city. As an NP-hard problem, TSP requires computationally intensive approaches for ex
Classic AI Algorithm: Dynamic Particle Swarm Optimization for Multi-Objective Problem Solving in Dynamic Environments with MATLAB Implementation Insights
The Directed Acyclic Graph Support Vector Machines (DAG-SVMs) multi-class classification method is a novel approach that utilizes minimal hypersphere class inclusion as the hierarchical classification criterion. Experimental results demonstrate that
Implementation of spectral clustering algorithm for image segmentation using MATLAB, featuring detailed code examples and algorithmic explanations.
Rapid implementation code for ISODATA clustering algorithm, execute test_isodata to observe test results. This algorithm is ideal for feature classification prior to point pattern matching, featuring adaptive cluster merging/splitting with threshold
Dynamic code demonstration of particle swarm optimization algorithm locating the global minimum of an objective function. The implementation allows customization by modifying the target function definition to solve various optimization problems, with
This genetic algorithm implementation demonstrates how to solve robotic trajectory planning problems through evolutionary optimization techniques with code-level insights
This algorithm implements an artificial immune system based on clonal selection principles. It consists of three components: the first part employs traditional genetic algorithms, while the second part utilizes the Clonal Selection Algorithm (CSA). B
This is a highly practical and accurate AdaBoost algorithm source code implementation that effectively enhances algorithmic performance through ensemble learning techniques.
This package implements Particle Swarm Optimization (PSO) for training neural network parameters. Simply run demoPSOnet.m to observe dynamic 2D visualization of the optimization process, where particle positions represent potential neural network wei
General MATLAB Program for Support Vector Machine Nonlinear Regression and Comparative Study with BP Neural Network Approaches
Complete MATLAB source code implementation for Radial Basis Function Neural Network (RBFNN) model computation
This project utilizes historical wind power data to forecast future power values through MATLAB programming and Excel data processing. It implements neural network simulation prediction, gray prediction, and time series forecasting methods to identif
Self-compiled repository of RBF (Radial Basis Function) source programs designed for beginner-level learning, featuring practical code implementations and algorithmic explanations.