Three-Dimensional Swirl Flow Velocity-Field Reconstruction Using a Neural Network With Radial Basis Functions

Our numerical results indicate that unlike global methods, local techniques and in particular the LHI method may solve problems of great scale since the global systems of equations

Secondly, we train the neural network on 5-band TokyoTech multispectral image database 5-BAND Tokyo 1 and use it to de- mosaic a 5 color CFA (see Figure 2) [30, 31].. This database is

[9] Bob D de Vos, Floris F Berendsen, Max A Viergever, Marius Star- ing, and Ivana Iˇsgum, “End-to-end unsupervised deformable image registration with a convolutional neural

To automate nadir spectral line identification for the averag- ing, we use a combination of three guidelines: (i) the measured continuum temperature has to be over 30 K; (ii) the

More pre- cisely, in [Mai-Duy and Tran-Cong (2001)] authors used the Indirect Radial Basis Function Networks (IRBFN) along with the point collocation method and solved the

According to theory of constraints, we want to build reduced models composed exclusively by bottleneck and, in order to do that, a neural network, particularly a

All training chunks are stored in groups according to their keyword, and empty words are inserted where needed such that all chunks of the same keyword have the

Recently, deep learning models such as deep belief network (DBN) [6], recurrent neural network (RNN) [7], and long short-term memory (LSTM) [8] have been used for traffic