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.
Abstract: Low-voltage distribution networks (LVDNs) have witnessed an increasing penetration of distributed photovoltaics (PVs), which exacerbates the existing voltage violation and voltage unbalance ...
Abstract: genetic programming (GP) is a widely recognized and powerful approach for symbolic regression (SR) problems. However, existing GP methods rely on a single form to solve the problem, which ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results