PNN Neural Network Algorithm
PNN Neural Network Algorithm enables efficient classification of power transformer faults after training through probabilistic pattern recognition implementation
SVM MATLAB Toolbox with GUI Interface
A highly functional SVM MATLAB toolbox featuring a comprehensive user interface, tested for reliability and ease of use
Basic Particle Swarm Optimization Algorithm Implementation
Implementation of basic Particle Swarm Optimization (PSO) algorithm using MATLAB to solve the Rastrigrin function, with detailed code structure and parameter configuration explanations.
Face Detection Using ICA Transformation with Algorithm Implementation
Face detection using ICA (Independent Component Analysis) transformation represents a novel approach in facial recognition technology, featuring statistical signal processing and component separation capabilities.
MATLAB Implementation of Support Vector Machine with SMO Algorithm
MATLAB implementation (pseudocode) of Support Vector Machine using Sequential Minimal Optimization (SMO) algorithm for efficient training and classification
Data Classification and Prediction Using SVM
The wine dataset originates from the UCI repository and contains chemical analysis results of three different wine cultivars from the same region in Italy. The dataset comprises 178 samples, each with 13 feature components (chemical properties), alon
Mobile Robot Path Planning Using Ant Colony Optimization Algorithm
This implementation applies Ant Colony Optimization to mobile robot path planning, achieving rapid and efficient global optimal path solutions through swarm intelligence simulation.
MATLAB Implementation of RBF Neural Network with PSO and GA Optimization Comparison
Comparative Analysis of Radial Basis Function Neural Networks using Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) Optimization Methods
Support Vector Machine as a Novel Regression Approach
Support Vector Machine serves as an innovative regression method, particularly effective for nonlinear patterns. This implementation provides nonlinear regression capabilities using SVM with kernel functions and optimization algorithms to handle comp
Chess Human-Computer Battle Against Greedy AI
Play chess against a computer opponent named Greedy with side-switching capability and move undo functionality
MATLAB Implementation of Face Recognition Algorithm Using BP Neural Network
MATLAB implementation of face recognition algorithm based on BP neural network using sample-complete training methodology with feature extraction and pattern recognition techniques.
Relatively Simple Pattern Recognition Problem
This project implements a straightforward pattern recognition task using Bayes classifier. The training dataset consists of female.txt and male.txt files, while the classifier performance is evaluated using test datasets set1.txt, set2.txt, and set3.
Face Recognition Using Artificial Neural Networks with Technical Implementation Insights
Implementing Face Recognition Systems with Artificial Neural Networks: Architecture Design and Algorithmic Approaches
Neural Networks, Genetic Algorithms, Probability Algorithms, and Simulated Annealing Algorithms
MATLAB Implementations of Key Algorithms: Neural Networks, Genetic Algorithms, Probability Algorithms, and Simulated Annealing
Integration of Genetic Algorithm and Neural Network for Data Fusion
Combining Genetic Algorithm and Neural Networks for Data Fusion, with Comprehensive Documentation, Reference Materials, and MATLAB Implementation Examples
MATLAB Experimental Program for Probabilistic Neural Network Algorithm
MATLAB experimental implementation of Probabilistic Neural Network algorithm for pattern recognition applications including license plate recognition and text recognition
Enhanced Artificial Bee Colony Algorithm
Enhanced Artificial Bee Colony Algorithm Implementation and Applications~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Comparative Analysis of Genetic Neural Networks in Control Systems
To evaluate the comparative performance of genetic neural networks in control systems, we conducted simulation experiments using indoor temperature control as a case study. With temperature targets set at 18°C and 20°C while maintaining consistent pa
Fuzzy BP Neural Network Integrated Decoupling Algorithm
MATLAB-formatted source code implementing a fuzzy BP neural network integrated decoupling algorithm for control optimization model problems, featuring neural network training, fuzzy logic integration, and decoupling control mechanisms.
Intelligent Control Theory Algorithms Implementation
Implementation of intelligent control theory algorithms featuring hierarchical clustering, Hopfield network, and genetic algorithm optimization with three source code files