TY  - CHAP
AU  - Cheron G.
AU  - Duvinage M.
AU  - Castermans
AU  - T. Leurs F.
AU  - Cebolla A.
AU  - Bengoetxea A.
AU  - De Saedeleer C.
AU  - Petieau M.
AU  - Hoellinger T.
AU  - Seetharaman K.
AU  - Draye JP.
AU  - Dan B
ED  - Hubert Cardot
Y1  - 2011-02-09
PY  - 2011
T1  - Toward an Integrative Dynamic Recurrent Neural Network for Sensorimotor Coordination Dynamics
N2  - The RNNs (Recurrent Neural Networks) are a general case of artificial neural networks where the connections are not feed-forward ones only. In RNNs, connections between units form directed cycles, providing an implicit internal memory. Those RNNs are adapted to problems dealing with signals evolving through time. Their internal memory gives them the ability to naturally take time into account. Valuable approximation results have been obtained for dynamical systems.
BT  - Recurrent Neural Networks for Temporal Data Processing
SP  - Ch. 5
UR  - https://doi.org/10.5772/15977
DO  - 10.5772/15977
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-24
ER  -