Researchers in China have combined an online-learning radial basis function neural network with super-twisting sliding-mode ...

Deep learning neural networks are usually rife with challenges. For all their layered capabilities, the algorithms themselves are hard to create and even harder to manage. From the demand for millions ...

Researchers have developed a physics-informed neural network with an attention mechanism that predicts electric vehicle range ...