Professional MATLAB source code with comprehensive documentation and examples
A neural network PID control implementation example for helicopter pitch angle control, using a second-order transfer function as the plant model, with code structure and implementation approach explanations.
The Statistical Pattern Recognition Toolbox includes: 1) Analysis of linear discriminant functions with implementation examples, 2) Feature extraction using Linear Discriminant Analysis (LDA) algorithms, 3) Probability distribution estimation and clu
A novel intelligent algorithm called Glowworm Swarm Optimization (GSO), specifically designed for multimodal function optimization. The implementation includes two MATLAB files: GSO.m serves as the main algorithm driver containing the optimization lo
Combining Genetic Algorithm and Fuzzy C-Means Clustering for SAR image classification, implementing two-class or three-class segmentation with optimization techniques and fuzzy logic handling.
MATLAB implementation of Convolutional Neural Network (CNN) with detailed source code, including layer configurations and training algorithms
Enhancing RBF neural networks' nonlinear function approximation capabilities through particle swarm optimization of network weights, with implementation insights into algorithm integration and weight updating mechanisms
Srinvivas' adaptive genetic algorithm featuring automatic adjustment of crossover probability and mutation probability based on fitness values
This MATLAB source code implements a genetic algorithm incorporating elitism strategy. The implementation details the complete genetic algorithm workflow and significantly improves performance over basic genetic algorithms by preserving elite individ
Neural Network-Based Stator Flux Observer Replacement for Motor Direct Torque Control, featuring ML estimation algorithms and real-time flux calculation methods
SVM (Support Vector Machine) algorithms for binary classification and multiclass problems including One-vs-One and One-vs-Rest approaches with complete MATLAB training and testing code implementation
Implementation of BP Neural Network-based digit recognition system for numbers 0-9 in various fonts using MATLAB, featuring complete code architecture and performance analysis
This clustering implementation using MATLAB delivers excellent results and includes sample data that can be executed directly with a single click
I. Clear environment variables II. Generate training/test datasets III. Create, train, and simulate BP neural network IV. Performance evaluation V. Visualization plotting Detailed demonstration of BP neural network implementation with visualizations
Implementation of Particle Swarm Optimization (PSO) algorithm to solve economic dispatch problems by determining minimum fuel costs and network losses.
Source code from my recent paper focusing on extending ICA algorithms with reference signals, implementing a multi-reference fixed-point algorithm for independent component analysis with enhanced robustness.
Sequential Minimal Optimization (SMO) algorithm for Support Vector Machines - an efficient implementation approach for SVM with detailed code-related explanations
Three decision tree algorithm implementations (C4.5, ID3, CART_iris) collected from online sources for collaborative learning and research purposes.
Cloud Adaptive Genetic Algorithm - An optimization method combining genetic algorithms with cloud computing adaptability.
MATLAB implementation of Q-learning featuring comprehensive multi-agent system coverage, Q-table output functionality, and practical code demonstrations for reinforcement learning applications
This algorithm implements simulation testing of Support Vector Regression (SVR) models using MATLAB and functions provided by the libsvm package, with application to concrete compressive strength prediction. The implementation involves data preproces