MIT Artificial Intelligence Toolbox
MIT's Artificial Intelligence Toolbox - A highly valuable resource providing robust AI development tools and algorithm implementations for practical applications.
Improved Particle Swarm Optimization Algorithm for Constrained Optimization Problems
Program Name: Improved Particle Swarm Optimization Algorithm for Constrained Optimization Problems | Program Function: Solving optimization problems with various constraints | Input Conditions: Various initial conditions and parameter settings | Outp
MATLAB Implementation of Standard Particle Swarm Optimization Algorithm
Implementation of the standard particle swarm optimization algorithm using MATLAB programming, with main.m serving as the entry point file for execution
Support Vector Clustering Machine
This repository contains the main MATLAB program and partial subroutines for implementing Support Vector Clustering, a machine learning algorithm for data grouping
Niche Particle Swarm Optimization Algorithm Example
A comprehensive example of niche particle swarm optimization algorithm implementation, extremely valuable for learning PSO concepts and understanding algorithm mechanics through practical code demonstration!
Multi-Variable Input Backpropagation Neural Network Algorithm
MATLAB implementation of a backpropagation neural network algorithm supporting multi-variable inputs, featuring four-dimensional input processing with one-dimensional output
Fuzzy Neural Network Implementation for Function Approximation and Classification
Fuzzy neural network implementation for function approximation and classification with fuzzy rule extraction capabilities using adaptive learning algorithms
Excellent Genetic Algorithm Reference for Constrained Function Optimization
A high-quality genetic algorithm reference implementation designed for optimizing functions with constraints, featuring robust constraint-handling mechanisms and adaptive evolutionary operators.
Handwritten Digit Recognition Using RBF Network in MATLAB
A MATLAB implementation of handwritten digit recognition utilizing Radial Basis Function (RBF) network with code descriptions for image preprocessing, neural network training, and classification algorithms.
Predicting Water Eutrophication Impact Conditions Using Support Vector Machines with Code Implementation Details
Utilizing Support Vector Machine models to predict water eutrophication influencing factors, supplemented by multivariate regression analysis for comprehensive condition forecasting, including algorithm implementation approaches and key function desc
Three-Layer Backpropagation Neural Network Algorithm
Implementation of a three-layer BP neural network using MATLAB, featuring self-learning capabilities and excellent tracking performance through gradient descent optimization
Handwriting Recognition Using Support Vector Machines (SVM)
Exploring Handwriting Recognition with SVM Implementation and Algorithm Applications
SVM Implementation Example for Wine Classification
An SVM implementation example for categorizing different types of wines, complete with raw dataset containing various wine attributes and features.
BP Neural Network Optimization Algorithm Based on Genetic Algorithm
BP networks are a type of multi-layer feedforward neural network, named after the error backpropagation learning algorithm used to adjust network weights during training. Proposed by Rumelhart et al. in 1986, BP neural networks feature simple archite
Fuzzy C-Means Clustering: MATLAB Implementation with Complete Function Suite
A comprehensive MATLAB implementation of Fuzzy C-Means clustering algorithm featuring 10 specialized functions for complete clustering workflow
Self-Organizing Neural Network for Data and Image Processing
Self-organizing neural network-based data and image processing demonstrates exceptional performance in image segmentation applications. This well-structured source code provides an excellent foundation for development.
Machine Learning Source Code Based on Information Fusion
Gentleboost is a machine learning algorithm source code based on information fusion methodology, which has been successfully implemented across various engineering information domains including image processing and pattern recognition systems.
MATLAB Code Implementation of Genetic Algorithm for Multi-Objective Optimization
A MATLAB-based genetic algorithm program designed for solving multi-objective optimization problems, featuring evolutionary computation techniques and custom fitness evaluation functions.
Teaching-Learning-Based Optimization (TLBO) Algorithm
The Teaching-Learning-Based Optimization (TLBO) algorithm is a highly effective artificial intelligence technique, similar to genetic algorithms, widely applicable for optimization problems and scheduling/sequencing tasks.
Neural Network for License Plate Recognition
A neural network-based license plate recognition system with excellent performance, fully validated and guaranteed to produce operational results