[1]American Society for Testing Material. ASTM D6399-2010 standard guide for selecting instruments and methods for measuring air quality in aircraft cabins [S]. 2010.
[2]AECMA. BS EN 4618:2009 Aerospace series. Aircraft internal air quality standards, criteria and determination methods[S]. 2009.
[3]国家技术监督局. GB 18883-2002 室内空气质量标准[S]. 北京: 中国标准出版社, 2002.
[4]中华人民共和国卫生部. GB/T 18204-2000公共场所卫生标准检验方法[S]. 北京: 中国标准出版社, 2000.
[5]Haghighat F, Allard F, Megri A C, et al. Measurement of Thermal Comfort and Indoor Air Quality Aboard 43 Flights on Commercial Airlines [J]. Indoor and Built Environment, 1999, 8(1): 58-66.
[6]Giaconia C, Orioli A, Gangi A D. Air quality and relative humidity in commercial aircrafts: An experimental investigation on short-haul domestic flights[J]. Building and Environment, 2013, 67(3): 69-81.
[7]代炳荣. 飞机座舱动态空气净化系统研究[D]. 南京:南京航空航天大学, 2014.
[8]Li M X , Zhao B, Tu J Y, et al. Study on the carbon dioxide lockup phenomenon in aircraft cabin by computational fluid dynamics [J]. Building Simulation, 2015, 8(4): 431-441.
[9]Zhao Y J, Dai B R, Yu Q, et al. Numerical simulation study on air quality in aircraft cabins [J]. Journal of Environmental Sciences, 2017, 56(6): 52-61.
[10]张小俊, 张明路, 李小慧. 基于RBF神经网络的电化 学CO气体传感器的温度补偿[J]. 传感技术学报, 2009, 22(1): 11-14.
Zhang X J, Zhang M L, Li X H. Temperature compensation of electrochemical CO gas sensor based on RBF neural network [J]. Journal of sensor technology, 2009, 22(1): 11-14.
[11]张淑清,任爽,陈荣飞,等. 基于大数据简约及PCA改进RBF网络的短期电力负荷预测[J]. 计量学报, 2018, 39(3): 392-396.
Zhanh S Q, Ren S, Chen R F, et al. Short-term Power Load Forecast Based on Big Data Reduction and PCA-improved RBF Network[J]. Acta Metrologica Sinica, 2018, 39(3): 392-396.
[11]陆艺, 张培培, 王学影, 等. 基于PSO-BP神经网络的关节臂式坐标测量机长度误差补偿[J]. 计量学报, 2017, 38(3): 271-275.
Lu Y, Zhang P P, Wang X Y, et al. Error compensation of joint arm coordinate measurement based on PSO-BP neural network [J]. Acta Metrologica Sinica, 2017, 38(3): 271-275.
[12]王有贵, 吴双双, 陈红江. 称重传感器蠕变误差的神经网络补偿方法[J]. 计量学报, 2018, 39(4): 510-514.
Wang Y G, Wu S S, Chen H J. Neural network compensation method for creep error of weight sensor [J]. Acta Metrologica Sinica, 2018, 39(4): 510-514.
[13]Poggio T, Girosi F. Networks for approximation and learning [J]. Proceedings of the IEEE, 1990, 78(9): 1481-1497
[14]何平, 潘国峰, 赵红东, 等. 基于RBF网络的智能气敏传感器温度补偿[J]. 仪表技术与传感器, 2008,(7): 6-8+42.
He P, Pan G F, Zhao H D, et al. Temperature compensation of intelligent gas sensor based on RBF network [J]. Instrument technology and sensor, 2008,(7): 6-8+42. |