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Nature Environmental Protection, 2023, 4(1); doi: 10.38007/NEP.2023.040109.

Taking Into Account the Practice of Using Neural Networks in Nature Conservation Environments

Author(s)

Luis Moreno-Merino

Corresponding Author:
Luis Moreno-Merino
Affiliation(s)

Directorate General Water Resources, Ministry of Public Work and Housing, Jakarta 12110, Indonesia

Abstract

BP neural network (NN), as one of the NN models and one of the most widely used NN models at present, is widely used in such nonlinear problems as air quality prediction(AQP). This paper focuses on the practice of using NNs in nature conservation environment; analyzes the necessity of establishing an AQP system for AP management; develops an AQP system, mainly describes the process of implementing the data collection module, data processing module, air quality index calculation module and BP neural design module of the system, which provides guidance for nature conservation environment.

Keywords

Neural Network, Natural Environment Protection, Air Quality Prediction, Air Pollution

Cite This Paper

Luis Moreno-Merino. Taking Into Account the Practice of Using Neural Networks in Nature Conservation Environments. Nature Environmental Protection (2023), Vol. 4, Issue 1: 78-87. https://doi.org/10.38007/NEP.2023.040109.

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