NOA-LSTM: An efficient LSTM cell architecture for time series forecasting
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference38 articles.
1. A state-of-the-art survey on deep learning theory and architectures;Alom;Electronics,2019
2. Bandara, K., Bergmeir, C., & Smyl, S. (2020). Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach. 140. 10.1016/j.eswa.2019.112896.
3. Appliances energy prediction;Candanedo;UCI Machine Learning Repository.,2017
4. A LSTM-based method for stock returns prediction: A case study of China stock market;Chen;IEEE International Conference on Big Data (Big Data),2015
5. Financial time series forecasting with multi-modality graph neural network;Cheng;Pattern Recognition,2022
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