Implementation of BP Neural Network with Generalized Delta Learning Rule and Momentum
Implementation of Backpropagation Neural Network featuring generalized delta learning rule with momentum for efficient weight optimization
Original Bee Colony Optimization Algorithm with Graphical User Interface
The original Bee Colony Optimization algorithm is provided with a graphical interface, enabling beginner users to understand the fundamental principles and implementation of swarm intelligence algorithms through visual demonstration and interactive p
Short-Term Traffic Flow Prediction Based on Wavelet Neural Network
MATLAB implementation of short-term traffic flow prediction using wavelet neural network principles, featuring algorithm explanation and key function descriptions
Neural Network-Based License Plate Recognition System
A mini-program for license plate recognition using BP neural network algorithm, featuring image preprocessing, character segmentation, and pattern recognition capabilities for automated vehicle identification.
Solving Traveling Salesman Problem Using Genetic Algorithm
Implementation of a genetic algorithm to solve the Traveling Salesman Problem with a five-city example, including complete source code and detailed technical explanations.
High-Performance Clustering Toolkit with MATLAB Implementation
A robust MATLAB-based clustering toolkit specifically designed for research applications, featuring advanced algorithms and customizable implementations
Image Clustering Segmentation Using C-Means Method
Implementation of image clustering segmentation using the c-means algorithm with MATLAB simulation code
MATLAB Implementation of Bayesian Classification Experiment
Bayesian classification experiment demonstrating simple linear classifier design with MATLAB code examples, covering fundamental pattern recognition methodologies and Bayesian formula application for classifier implementation.
Sine Cosine Algorithm
A comprehensive exploration of the Sine Cosine Optimization Algorithm
Enhanced Swarm Intelligence Algorithm
Enhanced Swarm Intelligence Algorithm, commonly referred to as PSO (Particle Swarm Optimization), featuring dual implementations in C and MATLAB
DBN Implementation Example: Building a Two-Hidden-Layer Neural Network
This example demonstrates constructing a neural network with two hidden layers, featuring 500 input dimensions and 10 output dimensions. The hidden layers contain 50 and 20 nodes respectively, with a final softmax layer to compress outputs into proba
LVQ Neural Network Prediction for Face Orientation Recognition
LVQ Neural Network Implementation for Face Direction Classification with Code Integration
Fuzzy Clustering Toolbox
A comprehensive fuzzy clustering toolbox featuring 4 distinct evaluation methods, complete with detailed documentation and code annotations
Image Segmentation Using Clustering Method for Human Eye Localization
MATLAB implementation of clustering-based image segmentation followed by human eye position detection using morphological processing and feature analysis algorithms.
Chaos-Based Adaptive Particle Swarm Optimization Implementation
This is my self-developed MATLAB program implementing chaos-based adaptive particle swarm optimization, which has demonstrated excellent optimization performance in computational experiments.
Face Recognition System Combining Markov Model and Support Vector Machine
A MATLAB-implemented face recognition system based on Markov Model and Support Vector Machine with integrated face database. This robust implementation (non-original) demonstrates excellent performance with key features: database generation from trai
Application of Particle Swarm Optimization in System Identification
The application of Particle Swarm Optimization in system identification has been demonstrated to effectively identify system parameters with proven performance.
SVM Toolbox Developed by Professor Chih-Jen Lin from Taiwan
The SVM toolbox developed by Professor Chih-Jen Lin from Taiwan is highly user-friendly and represents one of the most classic SVM toolboxes available, widely cited by scholars both domestically and internationally. The toolbox features efficient imp
Discriminant Analysis using MATLAB's fitcsvm Function with Wine Dataset
Support Vector Machine (SVM) Discriminant Analysis implementation using MATLAB's built-in fitcsvm function, demonstrated on the Wine recognition dataset
PSO Particle Swarm Optimization Algorithm Program with Fuzzy Function Implementation
Enhanced PSO particle swarm optimization program featuring a novel algorithm that implements fuzzy logic capabilities for improved optimization performance in uncertain environments.