Remarks on System Identification Using a Quaternion Recurrent Neural Network Trained by Backpropagation through Time

This study investigates the learning capability of a quaternion recurrent neural network that is trained based on a backpropagation through time algorithm extended to quaternion numbers. Computational experiments to identify nonlinear systems, e.g. a three-dimensional chaotic system and discrete-tim...

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Veröffentlicht in:	Australian and New Zealand Control Conference (Online) S. 122 - 125
Hauptverfasser:	Takahashi, Kazuhiko, Shibata, Sora, Hashimoto, Masafumi
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 25.11.2021
Schlagworte:	Backpropagation Control systems Nonlinear systems Quaternions Recurrent neural networks Simulation System identification
ISSN:	2767-7257
Online-Zugang:	Volltext
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