Professional MATLAB source code with comprehensive documentation and examples
Utilizing Support Vector Machines for wind speed prediction to enhance wind power generation applications, improving the reliability of wind power forecasting through machine learning implementation.
This thesis project implements RBF neural network identification simulation through MATLAB code, featuring parameter configuration, training algorithms, and performance validation modules for practical research applications.
MATLAB source code implementations for Connotative Immune Clonal Algorithm, Genetic Algorithm, and Immune Network Algorithm with detailed optimization techniques
This MATLAB implementation provides source code for logistics facility location problems solved via Particle Swarm Optimization (PSO), featuring concise and practical programming with swarm intelligence optimization techniques
This support vector machine (SVM)-based radar target recognition algorithm for high-resolution range profiles (HRRP) delivers exceptional resolution performance, with implementations featuring robust feature extraction and classification pipelines.
User interface for Support Vector Machine predictions using MATLAB, featuring data handling and model configuration capabilities for practical machine learning applications.
Implementing genetic algorithms in MATLAB without using the built-in toolbox functions, featuring manual coding of selection, crossover, and mutation operations
Artificial Fish Swarm Algorithm simulates fish behaviors in aquatic environments where fish naturally locate nutrient-rich areas through independent movement or following others. The algorithm mimics three key fish behaviors - foraging, swarming, and
A comprehensive classification toolbox featuring MATLAB source code implementations for Support Vector Machines, Neural Networks, Principal Component Analysis, Multivariate Splines, along with detailed user manuals and technical documentation.
Implementation of genetic algorithms for multi-variable, multi-modal function optimization and multi-objective problem optimization with practical working examples and executable code.
License Plate Recognition using neural networks and color processing combined with car plate segmentation techniques, including detailed software implementation specifications.
Speaker recognition code implementation featuring endpoint detection, pre-emphasis, MFCC feature extraction, and neural network classification model
Kernel Function-Based Fuzzy C-Means Clustering (FCM) Algorithm for Improved Data Clustering with Non-Linear Pattern Recognition
MATLAB code for face recognition using Gabor filters combined with PCA, achieving excellent recognition rates through advanced feature extraction and dimensionality reduction techniques.
MATLAB implementation of Bayesian classifier for pattern recognition, featuring color-coded visualization of correctly classified and misclassified points with detailed code explanations
For network anomaly detection to improve detection rates for anomalous states and reduce false positives for normal states, this paper proposes a novel method that employs Quantum-behaved Particle Swarm Optimization (QPSO) to train Wavelet Neural Net
MATLAB-based pattern recognition simulation demonstrating effective gender classification using Bayesian classifier with implementation insights
SVM Neural Network for Data Classification and Prediction - Wine Variety Identification with Implementation Insights
Source code for seven radial basis function artificial neural networks, including implementations for pattern classification and prediction with algorithmic enhancements
This MATLAB 6.5 implementation of wavelet neural networks contains several areas for improvement. We welcome collaborative research and development to enhance its functionality and performance.