Optimization of Extreme Learning Machine Using Particle Swarm Algorithm
Enhancing ELM accuracy through Particle Swarm Optimization (PSO) parameter tuning, featuring algorithm implementation insights and performance benefits for large-scale datasets
Fault Location Using Single-End Electrical Quantities Based on Traveling Wave Theory
This program implements fault location utilizing single-end electrical quantities based on traveling wave theory, requiring high sampling rates to achieve enhanced precision in distance calculation algorithms.
Kriging Response Surface Model
Kriging response surface model implementation for high-accuracy function fitting with sample data
Single-End Frequency Domain Method for Fault Location
Single-end frequency domain fault location program implementing zero-sequence current phase correction algorithm with high measurement accuracy
Implementation in MATLAB Environment: Subpixel Edge Localization with High Precision
This MATLAB-based program achieves subpixel edge localization with precision of 0.1-0.2 pixels, featuring complete source code and comprehensive documentation. The implementation utilizes advanced interpolation algorithms and gradient-based edge detection methods for enhanced accuracy.
MATLAB Implementation of RBF Prediction Function
RBF prediction function demonstrating excellent approximation capabilities with high precision for time series forecasting and pattern recognition applications
A Method to Enhance Time Delay Estimation Accuracy Through Signal Cubing
In sound source localization, a technique for improving time delay estimation precision involves cubing the original signal before performing correlation, which yields sharper correlation peaks and enhances localization accuracy.
Optimizing DV-Hop Algorithm for Enhanced Node Localization Accuracy and Coverage Rate Improvement
Enhancing node localization accuracy and increasing coverage rate through DV-Hop algorithm improvements, with technical implementation strategies for wireless sensor network deployments.
3D Coordinate Transformation Using Rodriguez Matrix
This program implements a 3D coordinate transformation algorithm based on the Rodriguez matrix, featuring a simple and fast computational approach with high precision achieved without iterative processes, utilizing efficient matrix operations and vector rotations.
k-means Outlier Removal Method
k-means Outlier Removal Method: Primarily employs clustering mean approach to eliminate outliers from data, enhancing model prediction accuracy. This article provides MATLAB implementation code with cluster center analysis and distance-based outlier detection mechanisms.