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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Bibliographic Details

Published in:	Australian and New Zealand Control Conference (Online) pp. 122 - 125
Main Authors:	Takahashi, Kazuhiko, Shibata, Sora, Hashimoto, Masafumi
Format:	Conference Proceeding
Language:	English
Published:	IEEE 25.11.2021
Subjects:	Backpropagation Control systems Nonlinear systems Quaternions Recurrent neural networks Simulation System identification
ISSN:	2767-7257
Online Access:	Get full text
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