An Improved Industrial Process Soft Sensor Method Based on LSTM
Author:
Affiliation:
1. College of Information Science & Technology, Beijing University of Chemical Technology,Beijing,China,100029
Funder
National Natural Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10165684/10165785/10165845.pdf?arnumber=10165845
Reference19 articles.
1. Predicting the risk of heart failure with EHR sequential data modeling[J];jin;IEEE Access,2018
2. Novel nonlinear autoregression with external input integrating PCA-WD and its application to a dynamic soft sensor[J];zhang;Industrial & Engineering Chemistry Research,2020
3. Research on Runoff Simulations Using Deep-Learning Methods
4. Indoor Non-Line of Sight Visible Light Communication with a Bi-LSTM Neural Network
5. Short and medium-term prediction of winter wheat NDVI based on the DTW-LSTM combination method and MODIS time series data[J];zhao;Remote Sensing,2021
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