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Thermal Environment Prediction for Metro Stations Based on an RVFL Neural Network

With the improvement of China’s metro carrying capacity, people in big cities are inclined to travel by metro. The carrying load of these metros is huge during the morning and evening rush hours. Coupled with the increase in numbers of summer tourists, the thermal environmental quality in...

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Detalhes bibliográficos
Main Authors: Qing Tian, Weihang Zhao, Yun Wei, Liping Pang
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2018-04-01
Colecção:Algorithms
Assuntos:
Acesso em linha:http://www.mdpi.com/1999-4893/11/4/49
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