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Dynamic Model of the Road Tunnel Pollution by Neural Networks  

한도영 (국민대학교 기계ㆍ자동차공학부)
윤진원 (국민대학교 기계공학과 대학원)
Publication Information
Korean Journal of Air-Conditioning and Refrigeration Engineering / v.16, no.9, 2004 , pp. 838-844 More about this Journal
Abstract
In a long road tunnel, a tunnel ventilation system may be used in order to reduce the pollution below the required level. To develop control algorithms for a tunnel ventilation system, a dynamic simulation program may be used to predict the pollution level in a tunnel. Research was carried out to develop better pollution models for a tunnel ventilation control system. A neural network structure was adopted and compared by using actual poilution data. Simulation results showed that the dynamic model developed by a neural network may be effective for the development of tunnel ventilation control algorithms.
Keywords
Road tunnel; Tunnel ventilation system; CO pollution; Dynamic models; Neural networks;
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