SVM EEG Signal Classification: Implementation and Algorithm Overview
SVM-based classification of EEG signals using supervised learning with hyperplane optimization for neural pattern recognition and brain-computer interface applications.
Quantum-behaved Particle Swarm Optimization (QPSO) for Feature Selection
This MATLAB program implements Quantum-behaved Particle Swarm Optimization (QPSO) for feature selection, allowing users to specify optimization direction for objective functions, adjust population size, and modify the QPSO beta parameter internally.
Face Recognition for 100 Subjects Using SOM Neural Network Algorithm
Implementation of Self-Organizing Map neural network algorithm for 100-face recognition in MATLAB, featuring strong scalability and modular code structure.
Source Code Program for Solving TSP Using Genetic Algorithm
Genetic Algorithm-based TSP Solver Source Code with Precise Solutions for 50-City Problems
Solving an NP-Hard Job Shop Scheduling Problem Using Genetic Algorithms
Implementing genetic algorithms to tackle the NP-hard job shop scheduling problem in production environments, with emphasis on chromosome encoding, fitness evaluation, and genetic operators.
Artificial Neural Network Algorithm for Fault Diagnosis
Artificial Neural Network Algorithm designed for fault diagnosis applications, capable of identifying and classifying various fault types through pattern recognition and data analysis.
Data Prediction Using Generalized Regression Neural Network
Data prediction based on Generalized Regression Neural Network (GRNN), featuring cross-validation GRNN neural network prediction program with comparative analysis between BP and GRNN networks. Both networks are trained using identical datasets, demon
Image Filtering Implementation Using Pulse Coupled Neural Network (PCNN)
Source code for implementing image filtering with Pulse Coupled Neural Network (PCNN), fully tested and operational. The implementation includes key PCNN components such as neuron linking, pulse generation, and iterative filtering algorithms.
Enhanced Ant Colony Optimization for Solving Continuous Space Optimization Problems
MATLAB implementation of an improved ant colony algorithm for solving continuous space optimization problems with detailed code descriptions and algorithm explanations
Simulated Annealing Algorithm for TSP (Traveling Salesman Problem)
Universal MATLAB source code for solving TSP using simulated annealing algorithm with detailed implementation framework
Kernel ICA Algorithm for Face Recognition Applications
A kernel-based Independent Component Analysis algorithm adapted for face recognition, built upon the foundational ICA framework with enhanced feature extraction capabilities.
Direct Application of Neural Networks for Bearing Fault Diagnosis
This program implements neural networks for direct bearing fault diagnosis, taking bearing signals as input and outputting diagnostic results through advanced pattern recognition algorithms.
BPNN Traffic Volume Prediction with MATLAB Implementation
Implementation of BP Neural Network for traffic volume prediction using MATLAB 7.0 platform, featuring 3 input nodes and 1 output node trained on 15 datasets (1986-2000), including 9 normal training samples, 3 variable data sets, and 3 testing datase
Meanshift Algorithm for Finding Cluster Centers and Determining Cluster Numbers
A self-implemented source code for the Meanshift algorithm to identify cluster centers and determine optimal cluster counts, complete with practical examples for immediate application and integration.
BP Neural Network for PID Controller Parameter Optimization
Implementation of BP neural network for optimizing PID controller parameters, featuring a directly executable program with excellent optimization performance that enhances system stability and responsiveness.
Fuzzy Clustering Analysis Toolbox
A powerful and user-friendly toolbox designed for fuzzy clustering analysis with comprehensive algorithm implementations and flexible parameter configurations
Model-Based Clustering Algorithm Implementation
MATLAB implementation for model-based clustering algorithms that processes complete MB clustering on given datasets. This implementation supports four fundamental model configurations with unequal unknown priors, employing Bayesian Information Criter
High-Quality Code References for Deep Learning
Comprehensive code references for deep learning implementations, featuring benchmark programs for CAE, CNN, DBN, NN, SAE, and other fundamental architectures with practical implementation examples and algorithm explanations.
MATLAB Implementation of Differential Evolution Algorithm
MATLAB program for differential evolution algorithm, an intelligent optimization technique with robust global search capabilities
Cloud Model Generator
Cloud Model Generator comprises fundamental cloud generators, X-conditional cloud generators, and Y-conditional cloud generators, currently applied in foundational domains like data mining with implementations involving forward and backward cloud alg