3篇
您的检索式：作者名="MOU Yunfeng"
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | MC simulation of a PGNAA system for on-line cement analysis显示文摘A prompt gamma neutron activation analysis system with a 252Cf neutron source for on-line cement analysis has been simulated with the MCNP code.The results indicate that the optimum arrangement is a Bi shield of 20-mm thickness,a polyethylene moderator of 50-mm thickness,a source-to-sample distance of 70 mm,and cement samples of 1200 mm×600 mm×170 mm.To absorb thermal neutrons and suppress low-energy γ-rays,the optimum-sized sheets are 150 mm×7 mm Cd,and 150 mm×15 mm Pb. | YANG Jianbo TUO Xianguo LI Zhe MU Keliang CHENG Yi MOU Yunfeng | 2010 | Nuclear Science and Techniques2010，21，4： | 4 |
| 2 | Neutron response functions and detection efficiency of a spherical proton recoil proportional counter显示文摘The neutron response function and detection efficiency of a spherical proton recoil proportional counter (SP) play key roles in precise measurement of neutron spectra of the interior materials.In this paper,the response functions and detection efficiency of three SPs developed at CAEP are simulated by Geant4.The simulated spectra are compared with pulse-height spectra measured at 0.165,0.575,1.4,and 14.1 MeV of incident neutrons.And the calculated detector efficiencies agree within 5%with the data obtained by neutron activation. | Wang Xinhua He Tie Guo Haiping An Li Zhen Pu Mou Yunfeng Yang Jian | 2010 | Nuclear Science and Techniques2010，21，6： | 2 |
| 3 | Short-Term Wind Power Prediction Method Based on Combination of Meteorological Features and CatBoost显示文摘As one of the hot topics in the field of new energy,short-term wind power prediction research should pay attention to the impact of meteorological characteristics on wind power while improving the prediction accuracy.Therefore,a short-term wind power prediction method based on the combination of meteorological features and Cat Boost is presented.Firstly,morgan-stone algebras and sure independence screening(MS-SIS)method is designed to filter the meteorological features,and the influence of the meteorological features on the wind power is explored.Then,a sort enhancement algorithm is designed to increase the accuracy and calculation efficiency of the method and reduce the prediction risk of a single element.Finally,a prediction method based on Cat Boost network is constructed to further realize short-term wind power prediction.The National Renewable Energy Laboratory(NREL)dataset is used for experimental analysis.The results show that the short-term wind power prediction method based on the combination of meteorological features and Cat Boost not only improve the prediction accuracy of short-term wind power,but also have higher calculation efficiency. | MOU Xingyu CHEN Hui ZHANG Xinjing XU Xin YU Qingbo LI Yunfeng | 2023 | Wuhan University Journal of Natural Sciences2023，28，2： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员