Dual-color Lottery Prediction Using Backpropagation Neural Network
A dual-color lottery prediction program implemented using backpropagation neural networks, providing reference implementation with data preprocessing and model training components
Ant Colony Optimization Algorithm for Solving TSP Problem - MATLAB Implementation
A comprehensive MATLAB implementation of the basic Ant Colony Optimization algorithm for solving the Traveling Salesman Problem (TSP). This well-commented program features visual result plotting and includes detailed explanations of algorithm princip
Model Identification Using Fuzzy Neural Networks and T-S Models with Input-Output Membership Functions
Model Identification with Fuzzy Neural Networks, T-S Models, and Input-Output Membership Functions - Implementation Approaches and Algorithm Analysis
Image Classification Using SVM Algorithm with Feature Extraction Techniques
This project implements an SVM-based image classification system to automatically distinguish between basketball courts and tennis courts. The implementation includes color moment-based feature extraction for color images, complemented by HOG (Histog
Water Cycle Optimization Algorithm
The Water Cycle Optimization Algorithm is a novel swarm intelligence optimization method that simulates river flow dynamics, demonstrating exceptional performance in engineering structural design problems and other optimization domains.
FOA-ELM: Fruit Fly Optimization Algorithm for Extreme Learning Machine
Algorithm framework: 1) Determines the number of hidden layer neurons in Extreme Learning Machine (ELM) using Fruit Fly Optimization Algorithm (FOA); 2) Trains and tests samples using ELM methodology with optimized neuron configuration. Implementatio
Neural Network Online Training and Control Simulation for Two-Joint Robot
A neural network online training and control simulation program designed to control a two-joint robotic manipulator
Custom SVM Implementation Applications
Self-developed Support Vector Machine applications with educational value for beginners, demonstrating practical implementation approaches and algorithm workflows.
Ant Colony Optimization Dynamic Pathfinding Algorithm
Input parameter list for Ant Colony Optimization dynamic pathfinding algorithm: G (terrain map as binary matrix where 1 represents obstacles), Tau (initial pheromone matrix considering residual pheromones from previous foraging activities), K (number
Image Filtering Using PCNN Pulse-Coupled Neural Networks
Implementation of image filtering with PCNN pulse-coupled neural networks for noise localization and adaptive filtering, producing enhanced output through neural network-driven processing
Spectral Clustering Method for Cluster Analysis with MATLAB Implementation
A MATLAB-based spectral clustering approach for effective and rapid partitioning of multi-dimensional sample data, featuring eigenvector decomposition and similarity matrix construction for efficient clustering performance.
Short-Term Power Load Forecasting Using Wavelet Neural Networks
MATLAB implementation for short-term power load forecasting using wavelet neural networks, featuring wavelet decomposition for feature extraction and neural network training algorithms for predictive modeling.
Enhanced Genetic Algorithm Integrated with Maximum Entropy Method for Image Segmentation
An Improved Approach Combining Genetic Algorithm and Maximum Entropy Method for Image Segmentation with Code Implementation Details
Particle Swarm Optimization for PID Parameter Tuning
Implementation code for PSO-based PID parameter optimization with detailed algorithm explanation for technical reference
Multi-Objective Genetic Algorithm Using NSGA-II Method
NSGA-II-based multi-objective genetic algorithm implementation package with modular code structure for customization and adaptation to various optimization problems.
Deep Learning MATLAB Toolbox
A comprehensive MATLAB toolbox for deep learning implementations, featuring Deep Belief Networks (DBNs), Stacked Autoencoders, and Convolutional Neural Networks (CNNs) with complete training algorithms and layer configuration utilities.
Stock Modeling Using BP Neural Networks
With the gradual establishment of chaos theory and fractal theory in stock markets, neural networks have been increasingly employed to predict securities market fluctuations. This research aims to provide a stock price prediction method based on BP n
Facial Expression Recognition Using LBP and LPQ Feature Fusion with SVM Classification
MATLAB implementation for facial expression recognition combining Local Binary Pattern (LBP) and Local Phase Quantization (LPQ) algorithms, utilizing Support Vector Machine (SVM) for classification
A Novel Blind Source Separation Method: Injecting Noise for ICA Component Stability Analysis
This paper introduces an innovative blind source separation technique that analyzes Independent Component Analysis (ICA) stability through controlled noise injection. The method effectively handles noisy environments and non-Gaussian signals while im
Road Image Segmentation Using Genetic Algorithm
Implementation of road image segmentation based on genetic algorithm, demonstrating effective performance in processing road images with detailed code-oriented methodology.