Gabor Wavelet Feature Extraction for Palmprint, Face, and Fingerprint Recognition
Feature extraction using Gabor wavelets combined with Support Vector Machine (SVM) classification for palmprint, face, and fingerprint recognition systems.
Image Matching Implementation Using Particle Swarm Optimization
Implementing image matching through Particle Swarm Optimization algorithm with customizable input images - recommends initial debugging using MATLAB's built-in image datasets for stability verification
MATLAB Code Implementation for Support Vector Machine Regression
Comprehensive MATLAB program for Support Vector Machine regression with complete implementation and optimization capabilities
Image Fuzzy Clustering Segmentation Method Based on 2D Histogram
Image fuzzy clustering segmentation approach utilizing 2D histogram analysis with references to relevant algorithm research papers. Includes implementation insights for histogram processing and fuzzy clustering algorithms.
Simulation Program for PID Tuning Based on Binary-Encoded Genetic Algorithm
A simulation program utilizing binary-encoded genetic algorithm for PID parameter optimization, implementing iterative population evolution to determine optimal controller gains.
Application of Ant Colony Algorithm in Robot Path Planning
Implementation of ant colony algorithm using MATLAB with two separate functions that can be executed independently.
MATLAB Backpropagation Algorithm: Implementation and Applications
MATLAB Implementation of Backpropagation Algorithm for Neural Networks with Code Examples and Technical Explanations
BP-PID Neural Network Control
BP-PID Neural Network Control Implementation Using MATLAB as Development Language
Enhanced Particle Swarm Optimization Algorithm for Constrained Optimization Problems
This improved particle swarm optimization algorithm addresses constrained optimization problems, providing valuable reference for applying PSO techniques to constrained scenarios with enhanced implementation strategies and constraint-handling mechani
Distribution Network Fault Location Based on Fault Overcurrent Transformed into a Nonlinear Global Optimization Problem
The Ant Colony Algorithm is a probabilistic algorithm designed for finding optimal paths in graphs. It represents a novel general-purpose heuristic approach for solving combinatorial optimization problems, featuring positive feedback mechanisms, dist
Single Neuron PID Model Reference Adaptive Control Based on RBF Neural Network Identification
Single Neuron PID Model Reference Adaptive Control Using RBF Neural Network Identification - An Advanced Control Strategy Combining Neural Network Identification and Adaptive PID Control
Spatial Fuzzy C-Means Clustering Algorithm with Neighborhood Information
This code implements the spatial fuzzy c-means clustering algorithm enhanced with neighborhood information, providing improved clustering performance by incorporating spatial relationships between data points.
Adaboost: An Iterative Machine Learning Algorithm
Adaboost source code - Adaboost is an iterative algorithm that trains multiple classifiers (weak learners) on the same training dataset and combines them to form a more powerful final classifier (strong learner). The algorithm implementation typicall
Artificial Neural Network Implementation Example with MATLAB
MATLAB-based artificial neural network example featuring image processing capabilities and comprehensive code annotations
MATLAB Implementation of Particle Swarm Optimization Algorithm with Neural Network Integration
A comprehensive MATLAB program for particle swarm optimization including neural network integration, featuring intelligent population initialization, adaptive fitness functions, parameter optimization techniques, and multi-objective optimization capa
Research on Electric Load Forecasting Model Using Elman Neural Network in MATLAB
Development of a MATLAB-based Elman Neural Network model for electric load forecasting, leveraging time-series data analysis and recurrent network architecture for accurate predictions with implementation details including network configuration and t
Particle Swarm Optimization (PSO) Algorithm: Principles and MATLAB Implementation for Smart Antenna Weight Optimization
This article provides a comprehensive introduction to Particle Swarm Optimization (PSO) algorithm along with MATLAB source code implementations. PSO represents a cutting-edge optimization technique for smart antenna weight configuration, featuring sw
MATLAB Implementation of "Clustering by Fast Search and Find of Density Peaks"
Background The paper "Clustering by Fast Search and Find of Density Peaks," published in the June 2014 issue of Science, introduced an innovative clustering algorithm. This MATLAB implementation reproduces the algorithm from the paper. Key Technology
Solving Traveling Salesman Problem Using PSO Particle Swarm Optimization
Implementing particle swarm optimization algorithm to solve the classic traveling salesman problem with code implementation insights
AdaBoost Classification Algorithm for Machine Learning
The AdaBoost algorithm is a crucial feature classification method in machine learning, commonly employed for feature selection and feature weighting tasks. In facial expression recognition systems, AdaBoost is frequently utilized to filter multi-scal