A Convolutional Transformer Model for Multivariate Time Series Prediction

A Convolutional Transformer Model for Multivariate Time Series Prediction

This paper presents a multivariate time series prediction framework based on a transformer model consisting of convolutional neural networks (CNNs). The proposed model has a structure that extracts temporal features of input data through CNN and interprets correlations between variables through an a...

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Bibliographic Details
Main Authors: Dong-Keon Kim, Kwangsu Kim
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Artificial neural networks
predictive models
time series prediction
Online Access:https://ieeexplore.ieee.org/document/9874747/

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