| Autor: |
Yi, Kun, Zhang, Qi, He, Hui, Shi, Kaize, Hu, Liang, An, Ning, Niu, Zhendong |
| Zdroj: |
ACM Transactions on Information Systems; Sep2024, Vol. 42 Issue 5, p1-28, 28p |
| Abstrakt: |
The article focuses on improving Multivariate Time Series (MTS) forecasting accuracy by considering both intra- and inter-series relationships, which are often overlooked in previous approaches, leading to degraded performance. It mentions the proposed DeepCN model addresses this by incorporating a comprehensive relationship learning mechanism, leveraging mutual information to capture multi-order intra- and inter-series couplings simultaneously. |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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