---
# System prepended metadata

title: '[A Memory-Network Based Solution for Multivariate Time-Series Forecasting](https://arxiv.org/abs/1809.02105)'
tags: [references]

---

# [A Memory-Network Based Solution for Multivariate Time-Series Forecasting](https://arxiv.org/abs/1809.02105)

*2019, Association for the Advancement of Artificial Intelligence*
###### tags: `references`
implementation: https://github.com/Maple728/MTNet/blob/master/models/MTNet.py

![](https://i.imgur.com/EgGayNF.png)


![](https://i.imgur.com/38Kt1yc.png)

![](https://i.imgur.com/JvqYCMP.png)

* number of long term historical data (n)=7
* loss function: L1
* evaluation metric:
    * univariate prediction: Root mean square error, Mean absolute percentage error
    * multivariate prediction: Root relative squared error, Empirical Correlation Coefficient
