Computationally efficient locally-recurrent neural networks for on-line signal processing

1999 ◽  
Author(s):  
A. Hussain
Keyword(s):  
Neural Networks ◽  
Signal Processing ◽  
Recurrent Neural Networks ◽  
Computationally Efficient ◽  
On Line ◽  
Locally Recurrent

On-line learning algorithms for locally recurrent neural networks

1999 ◽  
Vol 10 (2) ◽  
pp. 253-271 ◽  
Author(s):  
P. Campolucci ◽  
A. Uncini ◽  
F. Piazza ◽  
B.D. Rao
Keyword(s):  
Neural Networks ◽  
Recurrent Neural Networks ◽  
Learning Algorithms ◽  
On Line ◽  
Locally Recurrent ◽  
On Line Learning

Locally Recurrent Neural Networks and Their Applications

2010 ◽  
pp. 195-222
Author(s):  
Todor D. Ganchev
Keyword(s):  
Neural Networks ◽  
Recurrent Neural Networks ◽  
Computational Models ◽  
Machine Learning Techniques ◽  
Spatial Correlations ◽  
Temporal Correlations ◽  
Learning Techniques ◽  
Locally Recurrent ◽  
The One ◽  
And Control

In this chapter we review various computational models of locally recurrent neurons and deliberate the architecture of some archetypal locally recurrent neural networks (LRNNs) that are based on them. Generalizations of these structures are discussed as well. Furthermore, we point at a number of realworld applications of LRNNs that have been reported in past and recent publications. These applications involve classification or prediction of temporal sequences, discovering and modeling of spatial and temporal correlations, process identification and control, etc. Validation experiments reported in these developments provide evidence that locally recurrent architectures are capable of identifying and exploiting temporal and spatial correlations (i.e., the context in which events occur), which is the main reason for their advantageous performance when compared with the one of their non-recurrent counterparts or other reasonable machine learning techniques.

scholarly journals Exploring Recurrent Neural Networks for On-Line Handwritten Signature Biometrics

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 5128-5138 ◽  
Author(s):  
Ruben Tolosana ◽  
Ruben Vera-Rodriguez ◽  
Julian Fierrez ◽  
Javier Ortega-Garcia
Keyword(s):  
Neural Networks ◽  
Recurrent Neural Networks ◽  
On Line ◽  
Handwritten Signature
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