PSO for Solving Two-Objective Function Extremum Problems
PSO (Particle Swarm Optimization) for solving two-objective function extremum problems, ideal for beginners in multi-objective optimization with practical code implementation insights
Image Segmentation Implemented Using Genetic Algorithm
This robust image segmentation program leverages genetic algorithm optimization, featuring efficient performance and user-friendly operation with comprehensive code implementation details.
Image Segmentation Using Fuzzy C-Means Clustering Algorithm
Implementation of fuzzy C-means clustering algorithm for image segmentation with pixel classification and region extraction capabilities
BP Neural Network Implementation for Vehicle Speed Prediction
This BP neural network code implementation enables future vehicle speed prediction through historical automotive data analysis, featuring backpropagation algorithm optimization and multi-layer perceptron architecture.
Bayesian Classification for Images
Bayesian Classification for Images integrates pattern recognition techniques with image processing technologies, demonstrating the fundamental approach of using Minimum Error Probability Bayesian Classifiers for image categorization. Implementation t
Comparison of Results: Standard RBFNN vs. GA-Optimized RBFNN
1. Optimize various weights in the RBFNN using a Genetic Algorithm (GA) implementation with fitness function evaluation and population evolution; 2. Perform function approximation/tracking using the RBF neural network with Gaussian basis functions an
Differential Evolution Algorithm for Solving Power System Optimization Problems
Source code implementation of differential evolution algorithm for power system optimization, featuring a case study with 40-particle large-scale computational problem
Research on Image Registration Algorithm Using Simulated Annealing
Investigation of simulated annealing algorithm for image registration applications, seeking guidance and collaboration
EM Algorithm for GMM Parameter Estimation with MATLAB Implementation
MATLAB source code for estimating Gaussian Mixture Model (GMM) parameters using Expectation-Maximization algorithm, suitable for solving various machine learning problems including clustering, classification, and anomaly detection
Wishart Clustering with Polarimetric Entropy, Scattering Angle, and Anisotropy
Implementation of Wishart clustering based on polarimetric entropy, scattering angle, and anisotropy parameters, including supplementary Freeman decomposition code for comprehensive polarimetric data analysis.
Artificial Neural Network Design Example
A practical artificial neural network design implementation example that has been verified to produce correct results, including discussions on network architecture parameters and optimization algorithms.
Support Vector Machine Modeling for Continuous Stirred Tank Reactors: A Practical Implementation Example
This example demonstrates SVM modeling for Continuous Stirred Tank Reactors (CSTRs) in industrial processes, showcasing excellent prediction performance through regression techniques with radial basis function kernels.
Trajectory Planning
Trajectory planning for aircraft is a key technology in achieving autonomous navigation, representing an important research direction in artificial intelligence and guidance/navigation fields. This provides a systematic and in-depth introduction to t
Mean Shift Image Segmentation Test Program
Mean Shift Image Segmentation Test Program implementing clustering segmentation on color images using the meanshift algorithm with excellent results. The program displays processing time and identified cluster counts, and includes RGB-LUV color space
Feature Extraction Using Gabor Wavelets for Biometric Recognition
A comprehensive MATLAB implementation for image processing using Gabor wavelet feature extraction followed by Support Vector Machine (SVM) classification, applicable to palmprint, face, and fingerprint recognition systems with detailed code implement
Implementing Batch Least Squares for Training Takagi-Sugeno Fuzzy Systems
Batch least squares method for training Takagi-Sugeno fuzzy systems with linear parameter optimization and error minimization
Time Series Prediction Using Wavelet Neural Networks – Short-Term Traffic Flow Forecasting
Time series data represents sequences that change randomly over time, where forecasting involves using historical data points to predict current and future values. Traditional time series prediction methods in stochastic process theory typically empl
Particle Swarm Clustering Algorithm
Particle Swarm Clustering Algorithm Implementation and Code Overview
Path Planning Genetic Algorithm
MATLAB source code for path planning using genetic algorithms, containing multiple sub-files. Execute the mypath.m file for testing and demonstration.
Implementation of Fuzzy PSO Model Algorithm with MATLAB Toolbox Integration
Comprehensive specification of fuzzy Particle Swarm Optimization model algorithm including MATLAB toolbox implementation, featuring code structure descriptions and practical application scenarios