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.
A study conducted at the Institut de Physique du Globe de Paris uses images from NASA's Dawn mission and a Bayesian inversion of the Hapke photometric model to analyze avalanches and ejecta deposits ...
Abstract: This article proposed an innovative single-edge space vector pulse width modulation (SVPWM) strategy for the three-level three-phase voltage source inverters (VSIs), which could suppress the ...
Abstract: Magnetic inversion can effectively obtain the spatial distribution characteristics of underground targets. However, due to the inherent nonuniqueness characteristics of magnetic inversion ...