indexGA: A Toolkit for Natural Number Encoding Genetic Algorithms
The indexGA toolkit for natural number encoding genetic algorithms, accompanied by algorithm routines implementing vehicle routing optimization problems using this toolkit
Professional MATLAB source code with comprehensive documentation and examples
The indexGA toolkit for natural number encoding genetic algorithms, accompanied by algorithm routines implementing vehicle routing optimization problems using this toolkit
Online UAV path planning integrates real-time scheduling mechanisms, spline curve smoothing algorithms, and Quantum-behaved Particle Swarm Optimization (QPSO) for dynamic route optimization
Parameter self-learning control based on BP neural network involves: (1) defining the BP network structure by setting input layer nodes M and hidden layer nodes Q, initializing weight coefficients for each layer, and selecting learning rate and momen
This MATLAB implementation of multi-objective particle swarm optimization provides a thoroughly tested framework with detailed documentation for immediate application in solving complex optimization problems with multiple objectives.
A facial recognition program implementing the Independent Component Analysis (ICA) algorithm, developed by an exceptionally skilled expert with comprehensive code implementation
MATLAB Genetic Algorithm Toolbox Functions and Practical Examples Part 1: Core Functions - Initial Population Generation Function with Implementation Details
Implementation of the Adaboost algorithm with capabilities for training face detection samples using iterative weak classifier combination and dynamic weight adjustment.
Fast ICA, a rapid independent component analysis algorithm with complete research papers available in two formats (PDF and PS), featuring efficient implementation and signal separation capabilities.
MATLAB-implemented SVM source code for feature classification and extraction, utilizing machine learning algorithms with training-based model development
This is a fundamental MATLAB Adaboost program implementation, ideal for beginners learning machine learning classification algorithms with practical code examples.
Detailed solutions to the programming exercises from Andrew Ng's Machine Learning course, featuring comprehensive code explanations and algorithm implementations that are invaluable for machine learning beginners.
MATLAB-based implementation of the ID3 data mining algorithm with code structure explanations and algorithmic enhancements
Self-developed ICA source code for ear identification applications, featuring clearly structured implementation with detailed algorithm explanations for easy comprehension and customization.
Genetic Algorithm-Based LQR Controller Optimization Design For detailed tutorial explanations, please refer to the internal tutorial documentation. Due to file size limitations, contact me for high-definition tutorial resources.
Fully functional MATLAB implementation of Backpropagation Neural Network for successful classification tasks, including experimental report and ready-to-run code with detailed algorithmic explanations
An excellent MATLAB-based BP neural network source code implementation featuring comprehensive functionality and robust algorithm design
Implementation of economic load dispatch in power systems through genetic algorithm optimization with code-based constraint handling
Implementation of two-stage inverted pendulum control system integrating RBF neural networks and fuzzy logic control with complete source code, algorithm explanations, and practical demonstrations
MATLAB for Neural Networks: Implementing Backpropagation Algorithm with Sigmoid Activation Function for Function Approximation Problems
Implementation of multi-agent formation control system, with minor program modifications enabling various formation patterns including linear, triangular, and other geometric configurations through adjustable control algorithms.