Geometric algebra based recurrent neural network for multi-dimensional time-series prediction

Geometric algebra based recurrent neural network for multi-dimensional time-series prediction

Recent RNN models deal with various dimensions of MTS as independent channels, which may lead to the loss of dependencies between different dimensions or the loss of associated information between each dimension and the global. To process MTS in a holistic way without losing the inter-relationship a...

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Bibliographic Details
Main Authors:	Yanping Li, Yi Wang, Yue Wang, Chunhua Qian, Rui Wang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-12-01
Series:	Frontiers in Computational Neuroscience
Subjects:	geometric algebra recurrent neural network long-and short-term time-series network prediction multi-dimensional time-series
Online Access:	https://www.frontiersin.org/articles/10.3389/fncom.2022.1078150/full

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