A Neural Network-Based Stock Prediction System
This is a robust stock prediction program utilizing neural networks, featuring high accuracy, powerful predictive capabilities, and excellent curve-fitting performance for identifying market patterns
Neural Network-Based Digital Watermark Extraction
Implementation of digital image watermark embedding and extraction using neural networks, with custom-developed code and algorithms.
ID3: The Foundational Decision Tree Classification Algorithm
ID3 serves as the cornerstone of decision tree classification methods, forming the basis for advanced techniques like C4.5 and CART. This implementation provides a MATLAB-based solution for ID3 classification, featuring core algorithm components such
MATLAB Implementation of Support Vector Machine
A MATLAB program for Support Vector Machine implementation capable of performing both classification and regression tasks. This method demonstrates superior performance compared to neural networks while avoiding the curse of dimensionality, making it
Simulated Annealing Algorithm for Neural Network-based TSP Implementation
MATLAB Implementation of Simulated Annealing Algorithm for Traveling Salesman Problem (TSP) using Neural Networks
Gender Classification Using BP Neural Network Based on Student Physical Data
Implementing a 2-input 1-output BP neural network trained with height and weight data from 30 male and 30 female students, achieving 90% accuracy in gender classification for given input data through backpropagation learning algorithm.
Enhancing Neural Network Programs with Genetic Algorithms
Optimizing Neural Network Performance through Genetic Algorithm Implementation
Particle Swarm Optimization (PSO) Algorithm Implementation with Diverse Benchmark Functions
Implementation of the Particle Swarm Optimization (PSO) algorithm featuring customized coding approaches for various benchmark test functions
MATLAB M-File Implementation of Radial Basis Function (RBF)
Custom MATLAB M-file implementation of Radial Basis Function (RBF), independent of MATLAB's toolbox functions, providing full algorithm control and customization capabilities.
Multi-Agent Formation Control
Implementation of multi-agent formation control where dispersed agents cluster together and maintain specific inter-agent distances while moving forward
Implementation of the Classical Aihara Chaotic Neural Network Model
This program implements the classical Aihara chaotic neural network model with detailed code structure and algorithmic explanations
MATLAB Genetic Algorithm Toolbox Implementation
Genetic Algorithm Toolbox with customizable files and embedded functionality, allowing modification of core components and integration of user-defined functions for specific optimization requirements.
MATLAB Implementation of LIBSVM Toolbox
The MATLAB LIBSVM toolbox provides valuable machine learning capabilities with comprehensive SVM algorithm implementations.
Three-Layer Neural Network Algorithm Implementation in MATLAB
This MATLAB-based three-layer neural network algorithm enables weight training through different input vectors, featuring customizable network architecture and backpropagation optimization.
MATLAB Source Code for License Plate Localization Based on Adaboost Algorithm - September 10 Modified Version
Modified MATLAB source code for license plate localization using Adaboost algorithm (updated September 10). This implementation includes integral image calculation, Haar-like feature generation, and enhanced feature selection mechanisms. Suitable for
Genetic Algorithm for Traveling Salesman Problem (TSP)
Genetic Algorithm Implementation for Solving the Traveling Salesman Problem
MATLAB Source Code for SVM Classification
Implementation of SVM classification using MATLAB source code, including a sample dataset for simulation experiments with detailed algorithm explanations.
Genetic Optimization Algorithm for Enhanced Fuzzy C-Means Clustering
Utilizing genetic optimization algorithms to enhance fuzzy C-means clustering through global adaptive optimization, achieving more accurate fuzzy clustering centers with improved search capabilities and iterative refinement.
MATLAB Code Implementation for Cluster Analysis
MATLAB programs for performing cluster analysis, featuring adaptive iteration algorithms, K-means clustering implementations, with detailed usage instructions provided in the M-files.
Genetic Algorithm-Based PID Tuning
This MATLAB program implements PID controller tuning using genetic algorithms for parameter optimization. The approach provides an efficient global optimization method that requires no initial parameter information and can find globally optimal solut