Sentence examples for use of recurrent from inspiring English sources

One of the important features of Elman's model is the use of recurrent connections.

For univariate forecasting analysis, the use of recurrent topology is more common than the feed-forward networks.

These problems can be overcome through the use of recurrent neural networks that do not transform temporal patterns into spatial ones.

It should be mentioned that the conclusions are based on the use of only the feed-forward networks, and the scope extends to see if better results are achievable through the use of recurrent networks and other feed-forward varieties such as radial basis, adaptive neuro-fuzzy, and some other architectures.

Some examples are the use of recurrent neural networks [26] or clustering [27] to automatically estimate the most suitable and robust OSF for a set of data, or even the use of end-to-end systems based on convolutional neural networks (CNNs) [28] for directly integrating both stages into a single classification scheme.

Bland et al. suggested the use of recurrent one-week frequency recalls for better estimation [ 37].

Major modifiable risk factors include a low BMD, chronic oral corticosteroid use (more than 3 months of use), history of recurrent falls, and a low body weight (less than 58 kg) [ 21- 24].

Two possible approaches are the use of simple recurrent networks (SRNs) and, in localist networks, sustained activation.

The proposed method makes use of dynamic recurrent neural networks in the form of a nonlinear infinite impulse response (IIR) filter.

As the use of the recurrent topology in more common in univariate forecasting analysis (Saad et al. 1998), it will be used in this paper to forecast US presidential election.

This work proposes the use of a Recurrent Fuzzy Neural Network (RFNN) for modeling FES induced wrist, thumb, and finger movements based on surface multi-field electrodes and kinematic data from able-bodied and neurologically impaired subjects.