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Selection of optimal models for predicting growth stress in Artemisia desertorum by comparison of linear regression and multiple neural networks: Take the construction of a green mine in the Bayan Obo mine as an example.
Wang, Zhe; Zhang, Guang-Yu; Pei, Hai-Xia; Sun, Zhen-Bo; Cheng, Jun-Li; Zhou, Tong; Geng, Cheng-Xin; Lei, Kai-Neng; Zheng, Chun-Li.
Affiliation
  • Wang Z; School of Energy and Environment, Inner Mongolia University of Science and Technology, Baotou 014010, Inner Mongolia, China; Engineering Research Center of Evaluation and Restoration in the Mining Ecological Environments, Inner Mongolia University of Science and Technology, Baotou 014010, Inner Mong
  • Zhang GY; School of Energy and Environment, Inner Mongolia University of Science and Technology, Baotou 014010, Inner Mongolia, China.
  • Pei HX; School of Life Science and Technology, Inner Mongolia University of Science and Technology, Baotou 014010, Inner Mongolia, China.
  • Sun ZB; School of Energy and Environment, Inner Mongolia University of Science and Technology, Baotou 014010, Inner Mongolia, China.
  • Cheng JL; School of Energy and Environment, Inner Mongolia University of Science and Technology, Baotou 014010, Inner Mongolia, China.
  • Zhou T; School of Energy and Environment, Inner Mongolia University of Science and Technology, Baotou 014010, Inner Mongolia, China.
  • Geng CX; School of Energy and Environment, Inner Mongolia University of Science and Technology, Baotou 014010, Inner Mongolia, China.
  • Lei KN; School of Energy and Environment, Inner Mongolia University of Science and Technology, Baotou 014010, Inner Mongolia, China.
  • Zheng CL; School of Energy and Environment, Inner Mongolia University of Science and Technology, Baotou 014010, Inner Mongolia, China; Engineering Research Center of Evaluation and Restoration in the Mining Ecological Environments, Inner Mongolia University of Science and Technology, Baotou 014010, Inner Mong
Ecotoxicol Environ Saf ; 235: 113400, 2022 Apr 15.
Article in En | MEDLINE | ID: mdl-35325607
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artemisia Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Ecotoxicol Environ Saf Year: 2022 Document type: Article Country of publication: Netherlands
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artemisia Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Ecotoxicol Environ Saf Year: 2022 Document type: Article Country of publication: Netherlands