Publisher
European Journal of Science and Technology
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference18 articles.
1. Ma, R., Zheng, X., Wang, P., Liu, H. and Zhang, C. (2021). The prediction and analysis of COVID-19 epidemic trend by combining LSTM and Markov Method. Scientific report, (11), Number 17421.
2. Nguyen, H. D., Tran, K. P., Thomassey, S and Hamad, M. (2021). Forecaing and anormaly detection approaches using LSTM and LSTM Autoencoder techniques with the application in supplu chain management. İnternational Jornal of Information Management. V. 57, n, 102282.
3. Lu, H., Ge, Z., Song, Y., Jiang, D., Zhou, T. And Qin, J. (2021). A temporal-aware LSTM enhanced by loss-switch mechanism for traffic flow forecasting. Neurocomputing. Volüme 427, p:169-178.
4. Kwon, D., Kim, J., Heo, J., Kim, C. And Han, Y. (2019). Time Series Classification of Cryptocurrency Price Trend Based on a Recurrent LSTM Neural Network. Journal of Information Processing System. 15(3), pp. 694-706. DOI: 10.3745.JIPS.03.0120.
5. Aditya P., B., Dvareddy, S., Hegde, S. and Ramya, B., S. (2021). A Time Series Cryptocurrency Price Prediction Using LSTM. Emerging Research in Computing Information Communication and Applications. V. 790, pp 653-662.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献