A Quaternion Gated Recurrent Unit Neural Network for Sensor Fusion

Recurrent Neural Networks (RNNs) are known for their ability to learn relationships within temporal sequences. Gated Recurrent Unit (GRU) networks have found use in challenging time-dependent applications such as Natural Language Processing (NLP), financial analysis and sensor fusion due to their ca...

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Bibliographic Details
Main Authors: Uche Onyekpe, Vasile Palade, Stratis Kanarachos, Stavros-Richard G. Christopoulos
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Information
Subjects:
INS
Online Access:https://www.mdpi.com/2078-2489/12/3/117