Professional MATLAB source code with comprehensive documentation and examples
Face recognition, as a complex pattern recognition problem, has garnered widespread attention in recent years, with various methods in the recognition field demonstrating their strengths and leading to the development of many novel approaches that si
The RBF neural network internal model controller offers faster learning capabilities compared to BP algorithm implementations
Tissue-Based Particle Swarm Optimization (T-PSO) for Maximum Between-Class Variance (Otsu) Threshold Image Segmentation with Implementation Details
This code repository implements genetic algorithm optimization examples from Chapter 4, Example 4-5 of "Mastering MATLAB Intelligent Algorithms" - Each function accepts vector inputs for computational efficiency and can be adapted for various optimiz
Image Compression with Artificial Neural Networks - MATLAB Implementation. This codebase, developed in MATLAB 6.5, provides a complete Windows-compatible solution for neural network-based image compression. The package includes all necessary files wi
Familiarize with concepts of triangular fuzzy numbers, centers, and membership function expressions. Learn about feature mapping algorithms and statistical metric concepts. Implement cluster iteration algorithms to construct triangular-shaped members
Study on motor rotor fault diagnosis based on BP neural network, utilizing the trainbpx training function for neural network optimization and pattern recognition.
Implementation of multi-population chain-agent genetic algorithm including optimized code and experimental benchmark results. This research-oriented implementation features parallel population evolution with inter-agent communication chains. Please p
Artificial Bee Colony (ABC) algorithm - a swarm intelligence optimization technique inspired by honey bee foraging behavior
A foreign-developed license plate recognition system that primarily utilizes color feature extraction and segmentation techniques, incorporating an integrated neural network for character identification.
Solving single reservoir optimization scheduling with particle swarm algorithm - just modify corresponding constraint parameters to perform optimization calculations with adaptive constraint handling and population-based search capabilities
UAV path planning involves finding optimal or feasible routes from starting points to target destinations under specific constraints while meeting performance indicators. The core challenge is solving multi-objective optimization problems with multip
The FEC algorithm, as a heuristic method within clustering algorithms, effectively addresses complex network challenges by employing intelligent data grouping strategies, scalable implementation, and accurate clustering outcomes.
Excellent MATLAB source code for Support Vector Machines, ready to use without path configuration, offering superior usability compared to libsvm!
A program integrating Genetic Algorithm with Partial Least Squares (PLS) for variable screening, designed to solve combinatorial optimization problems with excessive variables through intelligent feature selection and optimization techniques.
Neural Network Control Toolbox featuring optimal control, feedback linearization control, predictive control, and feedforward control implementations. Includes detailed documentation in readme.txt with MATLAB code examples and algorithm explanations.
MATLAB source code example for designing a classifier based on BP neural network, including implementation details and algorithm explanations.
A comprehensive source code implementation of Ant Colony Algorithm for optimization problems, with availability for additional resources and technical support upon request
Particle Swarm Optimization for system enhancement with fully functional implementation
The package contains a research paper on multi-agent optimal consensus obstacle avoidance algorithm along with MATLAB simulation source code. The implementation includes key functions for consensus protocols, obstacle detection, and optimal path plan