Simulated Annealing Algorithm Toolbox for MATLAB
The MATLAB Simulated Annealing Algorithm Toolbox effectively addresses the absence of a dedicated toolbox in MATLAB by providing comprehensive implementation tools and functions.
Color Image Segmentation Using Fuzzy C-Means (FCM) Clustering Method
Implementing color image segmentation through Fuzzy C-Means (FCM) clustering algorithm with various feature vector representations for enhanced image characterization
Fuzzy Processing of Classification Samples Based on SVM Method
This program implements fuzzy processing of classification samples based on the Support Vector Machine (SVM) method, incorporating fuzzy factors to enhance classification precision through feature value adjustments.
MATLAB Implementation of Differential Evolution Algorithm
Differential Evolution Algorithm: The Latest Optimization Method Set to Replace Genetic Algorithms and Become the Primary Development Approach for Future Applications
Image Segmentation Based on Pulse Coupled Neural Network (PCNN)
MATLAB-based Image Segmentation using Pulse Coupled Neural Network (PCNN) with Algorithm Implementation Details
Image Classification and Segmentation Using K-means Clustering
Implementation of k-means clustering for image classification and segmentation processing in MATLAB with detailed algorithm explanation and code considerations
University-Developed SVM Toolkit with Comprehensive Documentation
An SVM toolkit developed by an international university, featuring English documentation and support for classification/regression tasks.
Hypersphere Support Vector Machine
Hypersphere Support Vector Machine (HSVM), a one-class SVM algorithm that constructs hyperspheres for classification tasks, particularly effective for anomaly detection scenarios
Enhanced PSO algorithm (Includes 3 M-files and documentation)
Enhanced PSO algorithm implementation featuring Clerc and Kennedy's 2002 improvements: This codebase implements the seminal PSO enhancements through three modular MATLAB files with comprehensive documentation
PSO Algorithm Solves 6x6 Job Shop Scheduling Problem with MATLAB Implementation
This MATLAB program implements a Particle Swarm Optimization (PSO) algorithm to solve a 6x6 job shop scheduling problem, featuring Gantt chart visualization. The code demonstrates fundamental PSO operations including particle initialization, velocity
Source Code for Character Recognition System Using Backpropagation Neural Network
Source code implementation of a character recognition system utilizing Backpropagation Neural Network, capable of effective digit character recognition with configurable network parameters and training algorithms.
BP Neural Network Code for Fault Diagnosis
BP Neural Network implementation for fault diagnosis, featuring data normalization processing and network parameter optimization strategies
Novel Intelligent Optimization Algorithm: Cuckoo Search Algorithm
Cuckoo Search Algorithm as a novel intelligent optimization technique for solving complex optimization problems
MATLAB Implementation of SVM Regression Analysis
SVM Regression Analysis with Model Building and Data Prediction - Includes Code Implementation Details
Two-Dimensional Gravity Anomaly Simulation Annealing Forward and Inverse Modeling Program in Geophysics
Geophysics Application: Forward and Inverse Modeling of 2D Gravity Anomalies Using Simulated Annealing Algorithm with Code Implementation Details
Multi-Objective Genetic Algorithm Using NSGA Method
A generic package implementation of multi-objective genetic algorithm based on NSGA methodology, featuring customizable parameters and adaptable code structure for various optimization scenarios.
Application of Pulse Coupled Neural Networks in Edge Detection
This demonstrates the application of Pulse Coupled Neural Networks (PCNN) in edge detection. As a third-generation neural network, PCNN inherently possesses advantages for image processing tasks, utilizing pulsed signal transmission to biologically s
Mean Shift Algorithm for Image Segmentation
MATLAB implementation of mean shift algorithm for directly segmenting grayscale or color images, featuring efficient code with practical applications
Implementation of Particle Swarm Optimization Algorithm
This MATLAB m-file provides an implementation of Particle Swarm Optimization (PSO) algorithm, where users can customize the objective function directly in the source code and extend functionality through additional parameter configurations.
MATLAB Implementation of Particle Swarm Optimization Algorithm
A complete MATLAB implementation of Particle Swarm Optimization (PSO) algorithm featuring swarm intelligence optimization with detailed code comments. This program includes parameter configuration options, fitness function customization, and visualiz