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Application of a combined response surface methodology (RSM)-artificial neural network (ANN) for multiple target optimization and prediction in a magnetic coagulation process for secondary effluent from municipal wastewater treatment plants

Crossref DOI link: https://doi.org/10.1007/s11356-021-18060-7

Published Online: 2022-01-21

Published Print: 2022-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Kemei

Mao, Yuxuan

Wang, Chuanhua

Ke, Qiang

Zhao, Min

Wang, Qi
Funding

Funding for this research was provided by:

national key research and development program of china (No. 2018YFE0103700)

National Natural Science Foundation of China (Nos. 61901303)

National Natural Science Foundation of China (61871293)

science and technology program of Cangnan,China (No: 2018G29)

science and technology major program of wenzhou, China (No: 2018ZG002)
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Text and Data Mining valid from 2022-01-21

Version of Record valid from 2022-01-21
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Article History

Received: 1 September 2021

Accepted: 8 December 2021

First Online: 21 January 2022

Declarations

:

: Not applicable.

: Not applicable.

: The authors declare no competing interests.

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