RNN-Based Multi-Step Prediction of Key Effluent Indicator in Wastewater Treatment Process
Author:
Funder
National Natural Science Foundation of China
Taishan Scholar Project of Shandong Province
China Postdoctoral Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9693491/9693537/09693712.pdf?arnumber=9693712
Reference17 articles.
1. An adaptive task-oriented RBF network for key water quality parameters prediction in wastewater treatment process
2. Prediction of effluent quality in papermaking wastewater treatment processes using dynamic kernel-based extreme learning machine
3. Biochemical oxygen demand prediction in wastewater treatment plant by using different regression analysis models
4. Online Fluorescence Monitoring of Effluent Organic Matter in Wastewater Treatment Plants
5. A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
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