Spatiotemporal information conversion machine for time-series forecasting

Making time-series forecasting in a robust way is a difficult task only based on the observed data of a nonlinear system. In this work, a neural network computing framework, the spatiotemporal information conversion machine (STICM), was developed to efficiently and accurately render a forecasting of...

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Bibliographic Details
Main Authors:	Hao Peng, Pei Chen, Rui Liu, Luonan Chen
Format:	Article
Language:	English
Published:	KeAi Communications Co. Ltd. 2024-11-01
Series:	Fundamental Research
Subjects:	Spatiotemporal information conversion network Robust time-series forecasting High-dimensional time series Takens' embedding theory Causal inference
Online Access:	http://www.sciencedirect.com/science/article/pii/S2667325822004538
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Spatiotemporal information conversion machine for time-series forecasting

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