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Ecological research on natural resource management based on entropy theory and hopfield network

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成果类型:
期刊论文
作者:
Zhu, Hai-Bo;Zheng, Gui-Jun*
通讯作者:
Zheng, Gui-Jun
作者机构:
[Zhu, Hai-Bo; Zheng, Gui-Jun] Cent South Univ Forestry & Technol, Changsha 410004, Hunan, Peoples R China.
[Zheng, Gui-Jun] Beijing Forestry Univ, Sch Econ & Management, Beijing 100083, Peoples R China.
通讯机构:
[Zheng, Gui-Jun] C
[Zheng, Gui-Jun] B
Cent South Univ Forestry & Technol, Changsha 410004, Hunan, Peoples R China.
Beijing Forestry Univ, Sch Econ & Management, Beijing 100083, Peoples R China.
语种:
英文
关键词:
Entropy;Hopfield network;Natural resources management;Social-ecological systems
期刊:
Ekoloji
ISSN:
1300-1361
年:
2019
卷:
28
期:
107
页码:
1029-1033
基金类别:
We acknowledge the financial support of National Social Science Foundation (Grant No. 15FGL012) and Provincial consultation project of Hunan (Grant No. 2014BZZ276), China. And thank for the support of Finance Department of Hunan province in promotion of forestry science and technology in 2017.
机构署名:
本校为第一且通讯机构
摘要:
Because of the size and complexity of CHANS (also known as human-environment, human-nature, or social-ecological systems) at regional and global scales, researchers interested in their management are continuously searching for indicators of the state and trajectory of these systems relative to sustainability targets, e.g., indicators such as a system’s resilience to perturbations. The sustainable utilization of natural resources is the theme of global economic and social development future. The introduction of information entropy and the appli...

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