Water quality monitoring at a virtual watershed monitoring station using a modified deep extreme learning machine
Author:
Affiliation:
1. College of Automation, Hangzhou Dianzi University, Hangzhou, China
2. Zhejiang Provincial Environmental Monitoring Center, Hangzhou, China
Publisher
Informa UK Limited
Subject
Water Science and Technology
Link
https://www.tandfonline.com/doi/pdf/10.1080/02626667.2019.1699245
Reference45 articles.
1. A novel SON2 -based similarity index and its application for the rationalization of river water quality monitoring network
2. Developments in water quality monitoring and management in large river catchments using the Danube River as an example
3. Coupling geostatistical approaches with PCA and fuzzy optimal model (FOM) for the integrated assessment of sampling locations of water quality monitoring networks (WQMNs)
4. Research on Extreme Learning of Neural Networks
5. Design of sampling locations for mountainous river monitoring
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