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...
Main Authors: | Qing Tian, Weihang Zhao, Yun Wei, Liping Pang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-04-01
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Series: | Algorithms |
Subjects: | |
Online Access: | http://www.mdpi.com/1999-4893/11/4/49 |
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