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Nature Environmental Protection, 2020, 1(1); doi: 10.38007/NEP.2020.010104.

Human Environment based on Symmetric Connection Network and Feedback Neural Network

Author(s)

Andreas Langousis

Corresponding Author:
Andreas Langousis
Affiliation(s)

Department of Civil Engineering, Federal University of Santa Catarina, Florianópolis 88040-900, SC, Brazil

Abstract

HSE is the key object of human environment(HE) research. Although the theory of HSE was first put forward by foreign scholars, China has long been involved in the theory of HSE. With the proposition of "human settlement" by Greek scholar Daosadias, the study of human settlements around the world has entered a new stage. This paper studies the HE based on symmetric connection network(SCN) and feedback neural network(FNN) technology. The basic theories of HE behavior and human settlements construction are briefly analyzed; The SCN and FNN technology are discussed, and they are applied to the monitoring of HE air quality. Through comparative analysis of experiments, the effectiveness and feasibility of the methods in this paper are verified.

Keywords

Symmetrical Connection Network, Feedback Neural Network, Human Environment, Residential Environment

Cite This Paper

Andreas Langousis. Human Environment based on Symmetric Connection Network and Feedback Neural Network. Nature Environmental Protection (2020), Vol. 1, Issue 1: 27-35. https://doi.org/10.38007/NEP.2020.010104.

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