A long short‐term memory‐based model for greenhouse climate prediction-Reference-Cited by-同舟云学术

A long short‐term memory‐based model for greenhouse climate prediction

Published:2021-08-19 Issue:1 Volume:37 Page:135-151
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Liu Yuwen¹^ORCID,Li Dejuan²^ORCID,Wan Shaohua³^ORCID,Wang Fan¹^ORCID,Dou Wanchun⁴^ORCID,Xu Xiaolong⁵^ORCID,Li Shancang⁶^ORCID,Ma Rui⁷^ORCID,Qi Lianyong¹^ORCID

Affiliation:

1. School of Computer Science Qufu Normal University Rizhao China

2. Weifang Key Laboratory of Blockchain on Agricultural Vegetables Weifang University of Science and Technology Shouguang China

3. School of Information and Safety Engineering Zhongnan University of Economics and Law Wuhan China

4. State Key Laboratory for Novel Software Technology, Department of Computer Science and Technology Nanjing University Nanjing China

5. School of Computer and Software, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science and Technology Nanjing China

6. Department of Computer Science and Creative Technologies University of the West of England Bristol UK

7. General Education Department Shandong First Medical University (Shandong Academy of Medical Sciences) Taian China

Funder

Natural Science Foundation of Shandong Province

State Key Laboratory of Novel Software Technology

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22620

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