Ecological Research on Natural Resource Management based on Entropy Theory and Hopfield Network

Hai-Bo Zhu, Gui-Jun Zheng

Ekoloji, 2019, Issue 107, Pages: 1029-1033, Article No: e107121

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Abstract

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 application of entropy law make entropy into the field of sustainable development. Every process of exploitation and utilization of natural resources can be regarded as the process of the transformation of the latent entropy into negative entropy capital through human labor. Through the analysis of the management of natural resources from the perspective of system theory, the Hopfield network is used to put the negative entropy in the nature of natural resource management. The establishment in the minimization of entropy increase based on natural resources management of the objective function and constraints, and optimize energy function through the Hopfield, and draw relevant conclusions.

Keywords

natural resources management, entropy, Hopfield network, social-ecological systems

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