Genetic Algorithm Optimized Neural Network Weight Adjustment Program
MATLAB-based implementation of genetic algorithm for optimizing neural network weights with enhanced code-level descriptions
MATLAB Implementation of Support Vector Machine for Stock Prediction and Simple Linear Regression
SVM algorithm application for stock market forecasting and univariate linear regression analysis with MATLAB implementation details
Fuzzy Controller for Tanker Ship Heading Regulation System
Fuzzy Controller for Tanker Ship Heading Regulation - An intelligent control system using fuzzy logic algorithms to automatically adjust and stabilize vessel navigation
Identification and Classification of Power Quality Disturbances Using Wavelet Analysis and Support Vector Machines
A graduation programming project implementing wavelet transform and support vector machines (SVM) for power quality disturbance identification and classification, primarily utilizing energy-based features for signal characterization.
MATLAB Implementation of Unsupervised Clustering Algorithm
Unsupervised clustering algorithm with automatic cluster detection, eliminating the need for predefined cluster numbers, and delivering superior clustering accuracy compared to commonly used algorithms. Demonstrates implementation approaches through
MATLAB Implementation of Two Intelligent Optimization Algorithms: Biogeography-Based Optimization and Particle Swarm Optimization
MATLAB programs implementing two intelligent optimization algorithms (Biogeography-Based Optimization and Particle Swarm Optimization) with detailed code structure explanations and algorithm implementation insights
XOR Problem Classification Using BP Neural Network
MATLAB implementation of XOR problem classification based on Backpropagation Neural Network
Particle Swarm Optimization Algorithm
Executable source code with customization capabilities for parameter modification and algorithmic enhancements
Dual-Threshold Image Segmentation Using Genetic Algorithm
Dual-threshold image segmentation based on genetic algorithm with KSW method implementation approach
Simulation and Optimization of Multi-Objective Particle Swarm Algorithm Using Test Functions
Implementation of particle position and velocity updates in multi-objective particle swarm optimization, featuring test function simulations and result optimization strategies with code-based parameter adjustments.
Wireless Sensor Node Deployment Based on Improved Artificial Bee Colony Algorithm
This resource includes comprehensive MATLAB implementation with supplementary C code components, providing complete simulation capabilities for ABC-based wireless sensor deployment. The package contains executable algorithms with documented simulatio
MATLAB Neural Networks and Genetic Algorithms
Comprehensive introduction to MATLAB neural networks and genetic algorithms including implementation examples with complete source code
AdaBoost Face Detection DLL Module using OpenCV with MATLAB Integration
This MATLAB-based implementation utilizes an OpenCV-built AdaBoost face detection DLL module to perform real-time face detection on video streams captured from USB cameras. The system displays detection results in real-time, though with slightly lowe
Particle Swarm Optimization Implementation Code in MATLAB
Practical particle swarm algorithm source code implementations in both Java and MATLAB, featuring comprehensive optimization techniques and beginner-friendly documentation with clear parameter explanations and fitness function examples.
SVM Data Transformation and Preprocessing Methods
Methods for data transformation and normalization functions in SVM, including key preprocessing techniques and implementation approaches
Particle Swarm Optimization Toolbox: A Comprehensive Implementation
This Particle Swarm Optimization (PSO) toolbox encapsulates the core algorithm components, providing users with adjustable parameters for customization. Users simply need to define their objective function (minimization or maximization), specify vari
MATLAB Code Implementation of SVM Toolbox
MATLAB SVM toolbox implementation with excellent usability. Place data in the MATLAB folder, open MATLAB, and execute the sequence: 1. mex setup 2. y 3. 2 4. y to obtain classification accuracy and test result matrix using training and testing sample
Fault Diagnosis Method Integrating Kernel Principal Component Analysis and Support Vector Machine
Advanced fault diagnosis approach combining Kernel PCA for nonlinear feature extraction and SVM for pattern classification with practical code implementation examples.
Path Planning Algorithm Based on Particle Swarm Optimization
Path Planning Using Particle Swarm Optimization Algorithm with Implementation Details
Aircraft Target Recognition Using Support Vector Machine Classification on One-Dimensional Range Profiles
High Resolution Range Profile (HRRP) processing with Support Vector Machine (SVM) implementation for aircraft target classification. This comprehensive code example demonstrates complete workflow from feature extraction to classification, serving as