Abstract: The radial basis function (RBF) neural network is a type of universal approximator, and has been widely used in various fields. Improving the training speed and compactness of RBF networks ...
Abstract: Efficient and accurate magnetic target localization methods have important value in navigation, archeology, and other fields. The current scalar positioning technology of magnetic target ...
Researchers from the University of Texas at Austin have developed a new 3D printing method designed to make semiconductor manufacturing faster, more efficient and more environmentally friendly. Called ...