Professional MATLAB source code with comprehensive documentation and examples
This neural network architecture implements Kolmogorov's theorem with 14 input nodes, 29 hidden layer nodes using tansig transfer functions, and 8 output nodes using logsig transfer functions, trained with the traingdx algorithm.
MATLAB-based source code implementing Support Vector Machine (SVM) classification algorithm with detailed technical analysis
MATLAB source code for optimizing Support Vector Machine (SVM) penalty parameter C and kernel parameter g using Particle Swarm Optimization (PSO), featuring clear implementation and beginner-friendly structure
Pattern Recognition - Fuzzy Clustering Algorithms: Implementation of Transitive Closure Method and Tracking Method in MATLAB
Implementation of the NSGA-II multi-objective genetic algorithm with detailed code comments and related research papers. Users can easily adapt the solution to specific problems with minor modifications, featuring clear function descriptions and algo
This program provides the source code implementation for applying ant colony optimization (ACO) to image classification tasks, specifically designed for processing 30x30 pixel images.
Genetic Programming is an emerging evolutionary computation technique that has garnered significant attention in academia. This implementation, though personally developed and somewhat rudimentary, serves as a practical reference for those interested
Implementation of a fuzzy neural network in MATLAB featuring dual-input and single-output architecture, including detailed code structure and parameter optimization techniques.
Implementation of SVM Algorithm in Data Mining Using MATLAB - Complete guide with code examples and algorithm explanations
Implementation of basic consensus algorithm with results demonstration using neighbor state averaging approach
Implementation of Fast Independent Component Analysis Algorithm for Maternal-Fetal Electrocardiogram Signal Separation with Code-Level Explanations
K-Means clustering algorithm implementation program divided into two main components: data handling module and algorithm execution module, featuring comprehensive code comments and detailed implementation explanations.
SPSA for Design of an Attentional Strategy - Implementation and Algorithm Optimization
A comprehensive MATLAB implementation of Logistic Regression (LR) classifier for machine learning, featuring detailed source code and four experimental datasets for practical validation
This self-developed neural network solution for electric load forecasting includes complete datasets and functional code implementation. The program is ready-to-run and features data preprocessing, model training, and prediction visualization compone
This ELMAN neural network-based step response dynamic compensation methodology demonstrates transferable applicability to other ELMAN network implementations, with extensible architecture for analogous compensation mechanisms in alternative neural ne
KFCM, the Kernel Fuzzy C-Means clustering algorithm, projects low-dimensional data into high-dimensional space for advanced classification using kernel methods with detailed implementation approaches
A refined sparse decomposition algorithm optimized through genetic algorithm integration, thoroughly debugged and implemented during academic paper development
MATLAB implementation of vehicle scheduling optimization using ant colony algorithm with code structure and key function explanations
Self-Tuning Control Method 2 Using Neural Network Control for Quanser's 3-DOF Helicopter System