Professional MATLAB source code with comprehensive documentation and examples
MATLAB source code implementing a hybrid algorithm combining Particle Swarm Optimization, Niche Algorithm, and Quantum Algorithm, featuring executable code with superior convergence performance and detailed implementation insights.
Implementation of RBF Neural Network Algorithm for Classifying Sample Data and Training Dataset with Program Code
Independent Component Analysis (ICA) feature extraction algorithm primarily focused on directional angle feature extraction, with research on ICA implementation and resource acquisition. This algorithm employs statistical independence principles to s
Applying genetic algorithms for clustering analysis to classify fund investment styles with optimization-driven methodology
MATLAB implementation of Gaussian Markov Random Field and Fuzzy C-Means Clustering with complete source code, algorithm explanations, and practical applications
Evaluation of SFLA clustering performance through real-world datasets with graphical illustrations demonstrating algorithm effectiveness, including implementation insights and key parameter configurations.
MATLAB programs for mathematical statistics including Support Vector Machines (SVM), Gaussian Mixture Models (GMM), and other statistical algorithms with implementation details.
Implementation of Gabor filters for image texture feature extraction, focusing on image classification and pattern recognition with code-oriented methodology
MATLAB source code for Least Mean Squares algorithm implementation, featuring a classifier for pattern recognition applications with adaptive filter implementation
The Elman neural network was proposed by Elman in 1990. This model adds a context layer to the hidden layer of the feedforward network, serving as a one-step delay operator to achieve memory functionality, enabling the system to adapt to time-varying
My improved MATLAB implementation of Extreme Learning Machine (ELM) neural network algorithm demonstrates significantly faster computational speed when using more than 3 neurons. The key enhancement utilizes function-based column matrix generation te
A comprehensive MATLAB implementation of Particle Swarm Optimization algorithm featuring modular code structure, parameter customization, and detailed comments for educational purposes.
This article introduces an adaptive control methodology that combines RBF neural networks with PID control algorithms, including implementation insights and practical applications.
This repository provides MATLAB source code implementing the ISODATA algorithm for pattern recognition applications. The code features comprehensive implementation including data initialization, cluster center selection, cluster assignment, and clust
This approach utilizes Particle Swarm Optimization to optimize RBF network weights, updating individual best positions and global best positions based on fitness evaluation values, with key implementations involving fitness function design and veloci
This MATLAB implementation of the Firefly Algorithm, belonging to swarm intelligence algorithms, was developed as a university project. The code features a main program with multiple functions simulating fundamental firefly behaviors, making it highl
A compact genetic algorithm program addressing job shop scheduling optimization with detailed solution methodology
A custom MATLAB implementation demonstrating quantum neural network classification on the iris dataset, featuring practical code structure and parameter configuration for machine learning applications
MATLAB implementation of Fisher Linear Discriminant Analysis for pattern recognition with code optimization techniques
SVM applied to face recognition with satisfactory performance! MATLAB implementation for educational purposes with practical coding examples.