机译:基于自适应神经模糊推理系统的地铁车站室内空气质量故障传感器监测
Department of Environmental Science and Engineering, Center for Environmental Studies, Kyung Hee University,Seocheon-dong 1, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Korea;
College of Environmental Science and Engineering, South China University of Technology, Guangzhou 510640, P. R. China;
Department of Architectural Engineering, Kyung Hee University,Seocheon-dong 1, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Korea;
Department of Environmental Science and Engineering, Center for Environmental Studies, Kyung Hee University,Seocheon-dong 1, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Korea;
adaptive neuro-fuzzy inference system (ANFIS); indoor air quality; kernel density estimation; sensor fault detection; subway systems;
机译:基于自适应神经模糊推理系统的地铁车站室内空气质量故障传感器监测
机译:用于监视地铁站中室内空气质量的传感器验证
机译:通过基于记忆门控的递归神经网络自动编码器的软传感器验证,用于监视和弹性控制连续地铁室内空气质量
机译:地铁站中传感器的故障检测,识别和室内空气质量测量的重建
机译:开发用于室内空气质量监测的无线传感器网络系统。
机译:使用自适应神经模糊推理系统的低成本空气质量传感器的校准模型
机译:使用自适应神经模糊推理系统的低成本空气质量传感器的校准模型