Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
IEEE

A Feature-Extraction-and-Classification-Integrated Framework for Transformer Fault Diagnosis Using Restricted Boltzmann Machine and Support Vector Machine

Abstract: Accurate power transformer fault diagnosis is crucial for power system reliability, but traditional gas ratio rule- and expert experience-based methods suffer from strong subjectivity and ...
IEEE

Significance Support Vector Machine for High-Speed Train Bearing Fault Diagnosis

Abstract: Wheelset bearing is the most critical component in High-Speed Train (HST) and crucial for HST safe and efficient operation. As a wide applying method for bearing health monitoring, Support ...
Aerospace and Mechanical Insider on MSN

AI and machine learning transform materials testing

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...