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您的检索式：作者名="Mingchen YAO"
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| 1 | Case study on stratospheric and mesospheric concentric gravity waves generated by deep convection显示文摘Concentric gravity waves(CGWs)in the middle and upper atmosphere show wave-coupling processes between the lower atmosphere and the middle and upper atmosphere.In this research,we analyzed a case of CGWs detected simultaneously by the AIRS(Atmospheric Infrared Sounder)and the VIIRS/DNB(Day/Night Band of the Visible Infrared Imager Radiometer Suite)in the stratosphere and mesosphere.Results showed that gravity waves(GWs)were generated by the collocated Hurricane Bejisa on the island of Mauritius.The AIRS data showed arc-like phase fronts of GWs with horizontal wavelengths of 190 and 150 km at 21:08 coordinated universal time(UTC)on 1 January 2014 and at 10:00 UTC on 2 January 2014,whereas the DNB observed arced GWs with horizontal wavelengths of 60 and 150 km in the same geographic regions at 22:24 UTC.The characteristics of CGW parameters in the stratosphere(~40 km)and the mesosphere(~87 km),such as the vertical wavelength,intrinsic frequency,and intrinsic horizontal phase speed,were first derived together with the background winds from ERA5 reanalysis data and Horizontal Wind Model data through the dispersion relationship of GWs and the wind-filtering theory. | GuoChun Shi Xiong Hu ZhiGang Yao WenJie Guo MingChen Sun XiaoYan Gong | 2021 | Earth and Planetary Physics2021，5，1： | 2 |
| 2 | Transfer Hydrogenation of Ethyl Levulinate toγ-Valerolactone Catalyzed by Iron Complexes显示文摘Conversion of biomass-derived ethyl levulinate toγ-valerolactone is realized by using homogeneous iron-catalyzed transfer hydrogenation(CTH).By utilizing Casey's catalyst and cheap isopropanol as hydrogen source,γ-valerolactone can be generated in 95%yield.Addition of catalytic amount of base is important to achieve good yield. | Nan Dai Rui Shang Mingchen Fu Yao Fu | 2015 | Chinese Journal of Chemistry2015，33，4： | 2 |
| 3 | Online Sequential Double Parallel Extreme Learning Machine for Classifications显示文摘Double parallel forward neural network(DPFNN) model is a mixture structure of single-layer perception and single-hidden-layer forward neural network(SLFN).In this paper,by making use of the idea of online sequential extreme learning machine(OS-ELM) on DPFNN,we derive the online sequential double parallel extreme learning machine algorithm(OS-DPELM).Compared to other similar algorithms,our algorithms can achieve approximate learning performance with fewer numbers of hidden units,as well as the parameters to be determined.The experimental results show that the proposed algorithm has good generalization performance for real world classification problems,and thus can be a necessary and beneficial complement to OS-ELM. | Mingchen YAO Chao ZHANG Wei WU | 2016 | Journal of Mathematical Research with Applications2016，36，5： | 0 |
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