Improved recursive least squares algorithm based on echo state neural network for nonlinear system identification

In order to model nonlinear systems with more accuracy, and to further exploit the potential capacities of recurrent neural networks, we propose a novel recursive least square (RLS) algorithm based on echo state network (ESN), and note it as RLSESN in this paper. ESN is a new paradigm for using recu...

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Vydané v:	Proceedings of the 30th Chinese Control Conference s. 1692 - 1695
Hlavní autori:	Song Qingsong, Zhao Xiangmo, Feng Zuren
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.07.2011
Predmet:	Adaptation models Filtering Modeling Neural Networks Neurons Recurrent neural networks Recursive Least Squares Algorithm Reservoirs System Identification Training
ISBN:	9781457706776, 1457706776
ISSN:	1934-1768
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