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1 Ergebnisse
1
Performance Analyses of Discrete-Time RNN for Solving Discr..:
, In:
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)
,
Shi, Yang
;
Fu, Shengshen
;
Ding, Chenling
.. - p. 876-880 , 2022
Link:
https://doi.org/10.1109/DDCLS55054.2022.9858472
RT T1
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)
: T1
Performance Analyses of Discrete-Time RNN for Solving Discrete-Form Time-Variant Matrix Inversion with Different Selection Parameters
UL https://suche.suub.uni-bremen.de/peid=ieee-9858472&Exemplar=1&LAN=DE A1 Shi, Yang A1 Fu, Shengshen A1 Ding, Chenling A1 Li, Jian A1 Gerontitis, Dimitrios K. YR 2022 SN 2767-9861 K1 Learning systems K1 Analytical models K1 Recurrent neural networks K1 Control systems K1 Data models K1 Numerical models K1 Performance analysis K1 First-order derivative K1 Discrete-time recurrent neural network (DT-RNN) K1 Selection parameter K1 Error analysis SP 876 OP 880 LK http://dx.doi.org/https://doi.org/10.1109/DDCLS55054.2022.9858472 DO https://doi.org/10.1109/DDCLS55054.2022.9858472 SF ELIB - SuUB Bremen
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