Dynamic Fuzzy Neural Network with Automated Rule Generation
Dynamic Fuzzy Neural Network with Automated Rule Generation
Wind Farm Prediction Using PSO-Optimized BP Neural Network
Implementation of Wind Farm Power Prediction with Particle Swarm Optimization Enhanced Backpropagation Neural Network
Kalman Filtering and Grey Theory for Deformation Monitoring Prediction and Forecasting
Predictive Forecasting in Deformation Monitoring Using Kalman Filtering and Grey Theory
Simulation of Classical Cerebellar Model Neural Networks
Implementation of Classical Cerebellar Model Neural Network Simulations with Code Integration
Gabor Wavelet Feature Extraction
Gabor Wavelet Feature Extraction and SVM Classification Implementation
Source Code for Typical Wavelet Neural Networks (WNN) with Implementation Details
Source code implementation of typical wavelet neural networks (WNN) featuring multi-scale decomposition and hybrid optimization algorithms
RBF Neural Network Identification Simulation
RBF Neural Network Identification and Simulation Analysis
BP Neural Network PID Parameter Tuning
Intelligent optimization method combining neural networks with PID control for automatic parameter adjustment to enhance system adaptability and stability.
Denoising through Contourlet Transform, ICA, and Chaotic Particle Swarm Optimization
A hierarchical denoising system integrating Contourlet transform, Independent Component Analysis (ICA), and chaotic particle swarm optimization for effective image noise reduction
Convolutional Neural Network (CNN) Algorithm in Deep Learning
Implementation details and structural components of Convolutional Neural Networks (CNN) for image processing in deep learning
RBFMIP: A Comprehensive Package for Training Multi-Instance RBF Neural Networks
RBFMIP is a specialized toolkit designed for training multi-instance Radial Basis Function (RBF) neural networks, combining RBF networks with multi-instance learning paradigms for complex classification and regression tasks.
Face Age Estimation Using Support Vector Machines: MATLAB Simulation
MATLAB Simulation of Face Age Estimation with Support Vector Machines (SVM) - This project demonstrates a complete machine learning pipeline for age prediction from facial images, covering preprocessing, feature extraction, SVM model training, and pe
Error Backpropagation (BP) Neural Network Simple Classifier
Error Backpropagation (BP) Neural Network Simple Classifier implemented with MATLAB
Classical Spectrum Allocation Algorithm Based on Proportional Fairness
Classical Spectrum Allocation Algorithm Using Proportional Fairness Approach with Water-Filling Implementation
MATLAB Implementation of Adaptive Genetic Algorithm with Code Descriptions
MATLAB code implementation of adaptive genetic algorithm featuring dynamic crossover and mutation probability adjustments
Kernel Methods and SVM: Essential Approaches in Pattern Recognition and Machine Learning
Kernel Methods and Support Vector Machines (SVM) are fundamental techniques in pattern recognition and machine learning, with wide-ranging applications in classification and regression tasks.
ChanAlgorithm3D: TDOA-Based 3D Localization Using Chan's Algorithm
Implementation of Chan's Algorithm for 3D Time Difference of Arrival (TDOA) Positioning System
Implementation Routines for Clustering and Classification Using SVM Algorithm
Support Vector Machine (SVM) algorithms for both classification and clustering tasks, with enhanced descriptions of implementation approaches and key functions
Collection of Simple Genetic Algorithms for Solving Optimization Problems
Collection of Simple Genetic Algorithms for Solving Optimization Problems
Load Balancing Scheduling Problem
Load Balancing Scheduling Problem - Algorithms and Implementation Approaches