Imagine you are training an AI to play chess. Whenever it makes a wrong move, you point out the mistake and explain the reason. In the world of deep learning, the Loss Function plays a similar role.

Recent information from the National Intellectual Property Administration indicates that Beijing Humanoid Robot Innovation Center Co., Ltd. (hereinafter referred to as "Innovation Center") applied for ...

Abstract: This letter deals with robust estimation of the output layer weights in a radial basis function network (RBFN) with predetermined hidden layer parameters. Specifically, we presume a RBFN ...

Failure modes, effects, and diagnostics analysis (FMEDA) is one of the available safety analysis tools that assesses ...