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  • 标题:Air quality assessment and pollution forecasting using artificial neural networks in Metropolitan Lima-Peru
  • 本地全文:下载
  • 作者:Chardin Hoyos Cordova ; Manuel Niño Lopez Portocarrero ; Rodrigo Salas
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2021
  • 卷号:11
  • DOI:10.1038/s41598-021-03650-9
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:The prediction of air pollution is of great importance in highly populated areas because it directly impacts both the management of the city’s economic activity and the health of its inhabitants. This work evaluates and predicts the Spatio-temporal behavior of air quality in Metropolitan Lima, Peru, using artificial neural networks. The conventional feedforward backpropagation known as Multilayer Perceptron (MLP) and the Recurrent Artificial Neural network known as Long Short-Term Memory networks (LSTM) were implemented for the hourly prediction of \documentclass[12pt
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