Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications

In many environmental applications, recurrent neural networks (RNNs) are often used to model physical variables with long temporal dependencies. However, due to mini-batch training, temporal relationships between training segments within the batch (intra-batch) as well as between batches (inter-batc...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Xu, Shaoming, Khandelwal, Ankush, Li, Xiang, Jia, Xiaowei, Liu, Licheng, Willard, Jared, Ghosh, Rahul, Cutler, Kelly, Steinbach, Michael, Duffy, Christopher, Nieber, John, Kumar, Vipin
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!