and neural network regression. There are several versions of kernel regression, and each version has several variations. The specific type of kernel regression presented in this article is ...

The project aims to research and develop a python package to solve PDEs using the Collocation Method with Radial Basis Functions (RBF). This a project done for the Centro de Investigación en ...

Figure 6 depicts the change in the loss function of the training and test sets during the RBF neural network training process. The loss function on the training and test sets is considerable at the ...

Abstract: Neural architecture search (NAS) is an automated technique to design optimal neural network architectures for a specific ... outputs and input features of the last layer with a radial basis ...

Therefore, roughly regarded as inserting an additional hidden layer into the ADALINE structure, the radial basis function neural network (RBFNN) directly using rotor position as the network's input is ...

oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications. oneDNN project is part of the UXL Foundation ...