MATLAB Code Implementation for Neural Networks
Neural Networks, used for mechanism modeling and empirical model establishment with MATLAB implementation examples and algorithm explanations.
A Reference Material for Fuzzy C-Means Clustering
A reference material for fuzzy C-means clustering, featuring an implementation program for conducting fuzzy clustering analysis
Particle Swarm Optimization (PSO) Toolbox with MATLAB Source Code
This compressed archive contains the MATLAB toolbox source code for implementing Particle Swarm Optimization (PSO) algorithms, featuring swarm intelligence-based optimization techniques for mathematical and engineering problems.
Multi-Objective Goods Loading Problem: A Complex Combinatorial Optimization Challenge
The multi-objective goods loading problem represents a complex combinatorial optimization challenge classified as NP-hard. This paper employs a hybrid particle swarm optimization (PSO) algorithm enhanced with genetic algorithm strategies to solve thi
Iris Data Classification Using Backpropagation Neural Network
Implementation of BP neural network for iris data classification, where achieving over 99% classification accuracy is possible by appropriately adjusting training epochs and precision parameters through code optimization.
Monte Carlo Simulation of Light Scattering
A ready-to-run Monte Carlo light scattering simulation program featuring randomly distributed particles. Includes straightforward documentation with implementation insights into particle distribution algorithms and scattering calculations.
[Data Mining] Classification Algorithm - Gibbs Sampling Implementation
MATLAB Implementation of Gibbs Sampling Classification Algorithm for Data Mining
Support Vector Machine Nonlinear Regression
This MATLAB source code provides a generic implementation of Support Vector Machine (SVM) nonlinear regression, applicable for linear regression, nonlinear regression, nonlinear function fitting, data modeling, prediction, and classification scenario
MATLAB Radial Basis Function Neural Network Source Code
A comprehensive MATLAB source code implementation of Radial Basis Function Neural Network for data analysis and pattern recognition tasks
MATLAB Implementation of Genetic Algorithm for Shortest Path Problems
Genetic Algorithm and Ant Colony Optimization for Solving Shortest Path Problems with MATLAB Code Implementation
Strong Classifier Design Based on BP_Adaboost for Corporate Financial Early Warning
Corporate Financial Early Warning Modeling with Ensemble Machine Learning Implementation
Source Code for Solving VRP Using Genetic Algorithm Implementation
Genetic Algorithm-based VRP Problem Solution with Python Implementation and Optimization Strategies
Application of PSO Particle Swarm Optimization Algorithm for Antenna Array Design
MATLAB source code implementation for applying PSO particle swarm optimization algorithm to antenna array design with detailed algorithm explanation
Naive Bayes Classification Implementation in MATLAB
A MATLAB-based implementation of the Naive Bayes classifier featuring complete training and test datasets, ready for immediate execution. The readme.txt file provides detailed data format specifications and usage instructions for seamless integration
Optimizing Artificial Neural Networks Using Genetic Algorithms
This program utilizes genetic algorithms to optimize artificial neural networks for predicting SARS trend variations, implementing evolutionary computation techniques to enhance neural network performance.
MATLAB Implementation of Genetic Algorithm (GA) with Optimization Algorithm Code Examples
MATLAB implementations of Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Ant Colony Algorithm (AS) developed during intelligent computing methods experiments. These codes include GA for Minimum Spanning Tree using Prufer encoding, PSO
Support Vector Machine SMO Algorithm Implementation
MATLAB implementation of the Sequential Minimal Optimization (SMO) algorithm for Support Vector Machines - a classic machine learning approach with detailed code documentation and practical examples
Implementation of Logistic Regression Algorithm in Machine Learning for Multi-Class Classification
Implementation of logistic regression algorithm in machine learning capable of classifying samples from three Gaussian distributions, featuring mathematical foundations and practical coding approaches
Multi-Objective Optimization Using Genetic Algorithms (Including Single-Objective Implementation)
MATLAB implementation of multi-objective optimization using genetic algorithms, covering both multi-objective and single-objective scenarios with detailed code explanations and framework demonstrations
SIR (Susceptible, Infected, Recovered) Model
The SIR (Susceptible, Infected, Recovered) model is used to study infectious diseases like smallpox, influenza, hepatitis, and measles, which confer strong immunity after recovery. This model employs differential equations to simulate disease spread