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Long short-term memory neural network and improved particle swarm optimization–based modeling and scenario analysis for municipal solid waste generation in Shanghai, China

Crossref DOI link: https://doi.org/10.1007/s11356-022-20438-0

Published Online: 2022-05-14

Published Print: 2022-10

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

Authors

Wang, Deyun

Yuan, Ying-an

Ben, Yawen

Luo, Hongyuan

Guo, Haixiang
Funding

Funding for this research was provided by:

Natural Science Foundation of Hubei Province (2020CFB822)

National Office for Philosophy and Social Sciences (21AZD074)

National Natural Science Foundation of China (71874165, 72074198)

National College Students Innovation and Entrepreneurship Training Program (202110491031)
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Text and Data Mining valid from 2022-05-14

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Article History

Received: 19 January 2022

Accepted: 20 April 2022

First Online: 14 May 2022

Declarations

:

: Not applicable.

: All authors were participated in this work.

: All authors allow the publication of this paper.

: The authors declare no competing interests.

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