Chaotic Neural Network Model based on Simulated Annealing Algorithm
A chaotic neural network model enhanced with simulated annealing optimization and dynamic system analysis capabilities
Support Vector Machine Toolkit
Support Vector Machine toolkit compatible with MATLAB R2021a (formerly MATLAB 6.5), featuring comprehensive classification and regression capabilities with kernel function implementations and parameter optimization features.
Efficient Clustering Algorithm Implementation
Code implementation of a novel and effective clustering algorithm from a 2007 Science paper, featuring enhanced clustering methodology and machine learning integration
MATLAB Implementation of Backpropagation Neural Network Algorithm with Code Examples
Complete Backpropagation Neural Network implementation featuring provided dataset and results, including detailed code structure and algorithmic explanations for practical application
MATLAB Implementation of Active Shape Models for Image Processing and Pattern Recognition
This MATLAB code implementation of Active Shape Models (ASM) provides a practical framework for image processing and pattern recognition applications, featuring shape localization and analysis algorithms with detailed function explanations.
Support Vector Machine-Based Nonlinear System Identification Program
A nonlinear system identification program implemented in MATLAB environment utilizing Support Vector Machines (SVM) for machine learning applications.
Neural Network-Based Face Recognition Training Function
Face recognition training function using neural networks, highly practical implementation from excellent postgraduate research projects
Pattern Recognition Implementation in MATLAB Using SVM Algorithm for Iris Data Classification
Pattern recognition and classification of iris dataset using Support Vector Machine (SVM) algorithm with MATLAB implementation details
Genetic Algorithm and BP Neural Network Implementation
A highly effective MATLAB program combining genetic algorithms with backpropagation neural networks for optimization and predictive modeling
Robot Control Simulation
Robot Control Simulation Using Genetic Algorithms for Neural Network Optimization
Image Segmentation Using Fuzzy C-Means (FCM) Clustering
Implementation of image segmentation through Fuzzy C-Means (FCM) clustering algorithm with code-related enhancements.
Genetic Algorithm Combined with Support Vector Machine: Implementation and Applications
This practical implementation combining genetic algorithms and support vector machines demonstrates their utility across various domains, featuring comprehensive code-related descriptions of key algorithms and their integration.
AdaBoost Classifier Algorithm Implementation in MATLAB
MATLAB implementation of the AdaBoost classifier algorithm with detailed code explanations and performance evaluation methods
Application of Adaptive Particle Swarm Optimization Algorithm
A MATLAB-implemented application of Adaptive Particle Swarm Optimization algorithm, featuring beginner-friendly code structure with configurable parameters and visual optimization progress tracking
MATLAB Simulation of Hopfield Neural Network
MATLAB implementation of Hopfield neural network simulation with robust functionality for pattern recognition and optimization problems, featuring customizable network parameters and iterative learning algorithms.
Solving the Traveling Salesman Problem (TSP) Using Particle Swarm Optimization
Implement a Particle Swarm Optimization (PSO) approach to solve the Traveling Salesman Problem (TSP). Simply input program parameters following the format specified in TSP1.m to execute the algorithm.
Firefly Algorithm Implementation
This MATLAB code implements the Firefly Algorithm, a swarm intelligence optimization method. Developed as a university project, it features a main program with auxiliary functions simulating fundamental firefly behaviors, making it particularly suita
Principles and Implementation Methods of Simulated Annealing Algorithm for Exponential Curve Fitting
This paper introduces the fundamental principles and solution methodology of the simulated annealing algorithm, applies it to exponential curve fitting problems, implements the algorithm in MATLAB environment, and compares its performance with geneti
Deep Learning Toolkit
deepLearnToolbox-master is a comprehensive deep learning package for MATLAB containing various machine learning algorithms including Convolutional Neural Networks (CNN), Deep Belief Networks (DBN), and AutoEncoders (Stacked SAE, Convolutional CAE). T
Error Learning Algorithm for Artificial Neural Network Perceptrons
Implementation of the error learning algorithm for single-layer perceptrons in artificial neural networks with code-level insights