Study on forecasting the parameters of gas environment of metro station
In the crowded metro station, it is important to forecast the changes of environmental parameters for the normal operation of metro and the safety of passengers in the future. Artificial Neural Network (ANN) has a good performance on processing time series data. In order to accurately predict enviro...
Main Authors: | Liping Pang, Xiyue Wang, Hongquan Qu, Bo Li, Qing Tian |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2021-09-01
|
Series: | Energy and Built Environment |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S266612332030088X |
Similar Items
-
Thermal Environment Prediction for Metro Stations Based on an RVFL Neural Network
by: Qing Tian, et al.
Published: (2018-04-01) -
Epilithic and aerophilic diatoms in the artificial environment of Kungsträdgården metro station, Stockholm, Sweden
by: Lena Norbäck Ivarsson, et al.
Published: (2013-09-01) -
Cluster and characteristic analysis of Shanghai metro stations based on metro card and land-use data
by: Ping Shen, et al.
Published: (2020-10-01) -
Analysis of Prediction Accuracy under the Selection of Optimum Time Granularity in Different Metro Stations
by: Peikun Li, et al.
Published: (2019-09-01) -
Artificial Neural Networks for Forecasting Passenger Flows on Metro Lines
by: Mariano Gallo, et al.
Published: (2019-08-01)