Tunnel construction ventilation frequency-control based on radial basis function neural network-Reference-Cited by-同舟云学术

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Tunnel construction ventilation frequency-control based on radial basis function neural network

Published:2020-10 Issue: Volume:118 Page:103293
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Liu Rong,He Yi,Zhao Yunfeng,Jiang Xiang,Ren Song

Funder

Natural Science Foundation of Chongqing

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference58 articles.

1. Natural wind utilization in the vertical shaft of a super-long highway tunnel and its energy saving effect;Zhang;Build. Environ.,2018

2. Model predictive and fuzzy control of a road tunnel ventilation system;Bogdan;Transportation Research Part C: Emerging Technologies,2008

3. Application of fuzzy control to a road tunnel ventilation system;Chen;Fuzzy Sets Syst.,1998

4. The control of highway tunnel ventilation using fuzzy logic;Karakas;Eng. Appl. Artif. Intell.,2003

5. Optimization-based control of ventilation in a road tunnel complex;Šulc;Control. Eng. Pract.,2017

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1. Air pollutant removal performance using a BiLSTM-based demand-controlled ventilation method after tunnel blasting;Journal of Wind Engineering and Industrial Aerodynamics;2024-10

2. Ventilation on demand in underground mines using neuro-fuzzy models: Modeling and laboratory-scale experimental validation;Engineering Applications of Artificial Intelligence;2024-07

3. Intelligent ventilation-on-demand control system for the construction of underground tunnel complex;Journal of Intelligent Construction;2024-06

4. Study on cooling measures and ventilation cooling device of high ground temperature tunnel;Journal of Thermal Analysis and Calorimetry;2024-02-19

5. Ventilation control of road tunnels towards disturbance suppression;Scientific Reports;2024-01-28

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