Author:
Vayadande Kuldeep,Bhoyar Ayush,Gorave Aditya,Behare Harshal,Bhale Yash,Bhojane Onkar
Publisher
Springer Nature Switzerland
Reference15 articles.
1. Di Persio, L., Honchar, O.: Recurrent neural networks approach to the financial forecast of Google assets. Int. J. Math. Comput. Simul. 11, 2017 (2017)
2. Zhao, S., Zhang, Y., Wang, S., Zhou, B., Cheng, C.: A recurrent neural network approach for remaining useful life prediction utilizing a novel trend features construction method. Measurement 146, 279–288 (2019). Elsevier Journal
3. Tian, Z., Zuo, M.J.: Health condition prediction of gears using a recurrent neural network approach. IEEE Trans. Reliab. 59(4), 700–705 (2010). https://doi.org/10.1109/TR.2010.2083231
4. Lipton, Z.C., Berkowitz, J., Elkan, C.: A Critical Review of Recurrent Neural Networks for Sequence Learning. arXiv arXiv:1506.00019
5. Sherstinsky, A.: Fundamentals of recurrent neural network (RNN) and long short-term memory (LSTM) network. Physica D: Nonlinear Phenom. 404, 132306 (2020). Special Issue on Machine Learning and Dynamical Systems. Elsevier