Abstract: The successive convex approximation (SCA) methods stand out as the viable option for nonlinear optimization-based control, as it effectively addresses the challenges posed by nonlinear ...

Abstract: The sigmoid function is a representative activation function in shallow neural networks. Its hardware realization is challenging due to the complex exponential and reciprocal operations.

It is probably the first thing you need to confirm. If your mouse has issues with its buttons, you may end up wasting time trying to fix it on your computer. It doesn’t matter if you have a wired or ...