RBF Network for Function Approximation with Manual Implementation
Implementation of Radial Basis Function network for function approximation without using MATLAB toolbox, featuring well-functioning program performance and custom algorithm design
AdaBoost Algorithm for Beginners
A comprehensive introduction to AdaBoost for machine learning beginners with code implementation insights
Image Processing Problems Based on Genetic Algorithms
Implementation of Genetic Algorithm-Based Image Processing Problems Using MATLAB
Simultaneous Perturbation Stochastic Approximation (SPSA) Algorithm for Optimization
Simultaneous Perturbation Stochastic Approximation (SPSA) is a gradient-free optimization algorithm for parameter estimation and function minimization, known for its robustness to noise and efficiency in high-dimensional problems.
Wavelet Neural Network (WNN) Implementation with Genetic Algorithm Optimization
Wavelet Neural Network source code implementation: 1. Nonlinear function construction (nninit_test.m) - Creating custom test functions for WNN training. 2. Direct WNN approximation (Wnn_test.m) - Implements wavelet-based neural network with internal
Mean Shift Object Tracking Algorithm Implementation
A MATLAB-based implementation of the mean shift tracking algorithm for computer vision applications, featuring density estimation and iterative convergence techniques.
Dynamic Clustering Algorithm Program Based on Sample and Principal Axis Kernel Function Similarity
A dynamic clustering algorithm implementation leveraging sample similarity metrics and principal axis kernel functions
Wireless Sensor Coverage Optimization Using Particle Swarm Algorithm
Optimizing sensor coverage through particle swarm optimization algorithm with implementation details
Genetic Algorithm for Reactive Power Optimization
Comprehensive implementation of genetic algorithm for reactive power optimization with shareable code functionality
MATLAB Implementation of Various Particle Swarm Optimization Algorithms
Comprehensive collection of particle swarm optimization algorithms including standard PSO, hybrid PSO, and improved PSO variants. Easily customizable parameters with implementation details for optimization, search, and simulation applications.
SVM Implementation for Multi-Class Classification
MATLAB source code for SVM-based multi-class classification implementing training algorithms including One-Against-All (OAA), One-Against-One (OAO), and BSVM2 quadratic programming algorithms
Kalman Filter
Kalman Filter Algorithm and Implementation Overview
Network Multicasting: A Current Research Focus with Immune Ant Colony Algorithm Implementation
Network multicasting represents a cutting-edge research area where this program implements immune ant colony optimization to enhance multicast routing efficiency through biologically-inspired algorithm design.
Analysis of Artificial Immune Systems with Network Intrusion Detection Implementation
This study analyzes the principles of artificial immune systems and implements a network intrusion detection system using the negative selection algorithm. The system incorporates an r-chunk matching rule for anomaly event recognition, with vulnerabi
Informax ICA Algorithm
Informax ICA Algorithm for EEG Signal Recognition with Implementation Details
BP Neural Network Prediction Implementation in MATLAB Code
BP neural network prediction - simple implementation, user-friendly approach, tested and verified functionality with strong portability features
Artificial Immune System
Algorithm Process: 1. Parameter Configuration Random generation of initial population - population = initpop(popsize, chromlength) Fault type encoding, each row represents: code(1,:) for normal; code(2,:) for 50%; code(3,:) for 1.5%. Actual fault mea
Autonomous Navigation of UAVs in Complex Battlefield Environments Using Ant Colony Optimization
This study explores how UAVs achieve autonomous flight in complex combat zones using Ant Colony Optimization algorithm implemented in MATLAB. The simulation assumes a 20km×20km operational area with UAV starting coordinates at [1,2] km and target coo
Efficient Application of Genetic Algorithms for Robust Control System Design Problems
To effectively apply genetic algorithms for robust control system design problems, we combine genetic algorithms with local optimization methods, proposing a Dimension-Reduced Sweeping Adaptive Multi-Objective Genetic Algorithm (DRSA-MOGA). The algor
Ant Colony Algorithm for Image Edge Detection
Ant Colony Algorithm implementation for image edge detection and pattern recognition applications, with compilable code and heuristic optimization approaches.