TY  - CHAP
AU  - Valeri A. Makarov
AU  - José Antonio Villacorta-Atienza
ED  - Hubert Cardot
Y1  - 2011-02-09
PY  - 2011
T1  - Compact Internal Representation as a Functional Basis for Protocognitive Exploration of Dynamic Environments
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. 6
UR  - https://doi.org/10.5772/15127
DO  - 10.5772/15127
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-25
ER  -