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	Artificial Neural Network-based prediction of glacial debris flows in the ParlungZangbo Basin, southeastern Tibetan Plateau, China 期刊论文 OAI收割 JOURNAL OF MOUNTAIN SCIENCE, 2021, 卷号: 18, 期号: 1, 页码: 51-67 作者: Tang, Wang; Ding, Hai-tao \| 收藏 \| 浏览/下载：33/0 \| 提交时间：2021/03/01 Two layers neural networks Glacial debris flow Disaster events K-fold cross-validation Rainfall Temperature
	Artificial Neural Network-based prediction of glacial debris flows in the ParlungZangbo Basin, southeastern Tibetan Plateau, China 期刊论文 OAI收割 JOURNAL OF MOUNTAIN SCIENCE, 2021, 卷号: 18, 期号: 1, 页码: 51-67 作者: Tang, Wang; Ding, Hai-tao; Chen, Ning-sheng; Ma, Shang-Chang; Liu, Li-hong \| 收藏 \| 浏览/下载：32/0 \| 提交时间：2023/02/28 Two layers neural networks Glacial debris flow Disaster events K-fold cross-validation Rainfall Temperature
	A two-phase approach to wave-induced sediment transport under sheet flow conditions 期刊论文 OAI收割 Coastal Engineering, 2011, 卷号: 58, 期号: 11, 页码: 1072-1088 作者: Chen X; Li Y(李勇); Niu XJ; Li M; Chen DY 收藏 \| 浏览/下载：49/0 \| 提交时间：2012/04/01 Two-Phase Flow Two-Fluid Model Oscillatory Sheet Flow Sediment Transport Numerical Computation Oscillatory Boundary-Layers Graded Sands Model Beds Suspension Particles Motions Uniform
	Oscillatory flow at the onset of convection in two-layer Bénard-Marangoni system 会议论文 OAI收割 60th International Astronautical Congress 2009, IAC 2009, Daejeon, Korea, Republic of, October 12, 2009 - October 16, 2009 作者: Kang Q(康琦); Li LJ(李陆军); Duan L(段俐); Hu WR(胡文瑞) 收藏 \| 浏览/下载：23/0 \| 提交时间：2017/07/14 Critical temperature difference Depth ratio Marangoni Marangoni convection Onset of convection Oscillatory flows Particle image velocimetries Structure change Time-dependent Two layer fluid Two layers Velocity field
	Study on color model conversion for camera with neural network based on the combination between second general revolving combination design and genetic algorithm (EI CONFERENCE) 会议论文 OAI收割 ICO20: Illumination, Radiation, and Color Technologies, August 21, 2005 - August 26, 2005, Changchun, China 作者: Li Z.; Zhou F.; Wang C.; Li Z. 收藏 \| 浏览/下载：36/0 \| 提交时间：2013/03/25 Munsell color system is selected to establish the mutual conversion between RGB and Lab* color model for camera. The color luminance meter and CCD camera synchronously measure the same color card XYZ value is gotten from the color luminance meter the training error is 0.000748566 it can show that the method combining second general revolving combination design with genetic algorithm can optimize the hidden-layer structure of neural network. Using the data of testing set to test this network and calculating the color difference between forecast value and true value the color picture captured from CCD camera is expressed for RGB value as the input of neural network and the Lab* value converted from XYZ value is regarded as the real color value of target card which the difference is not obvious comparing with forecast result the maximum is 5.6357 NBS namely the output of neural network. The neural network of two hidden-layers is considered the minimum is 0.5311 NBS so the second general revolving combination design is introduced into optimizing the structure of neural network and the average of color difference is 3.1744 NBS. which can carry optimization through unifying project design data processing and the precision of regression equation. Their mathematics model of encoding space is gained and the significance inspection shows the confidence degree of regression equation is 99%. The mathematics model is optimized by genetic algorithm optimization solution is gotten and function value of the goal is 0.0007168. The neural network of the optimization solution is trained
	Characterization of ZnO/Mg0.12Zn0.88O heterostructure grown by plasma-assisted molecular beam epitaxy (EI CONFERENCE) 会议论文 OAI收割 13th International Conference on Molecular Beam Epitaxy, August 22, 2004 - August 27, 2004, 13th International Conference on Molecular Beam Epitaxy, August 22, 2004 - August 27, 2004 Lu Y. M.; Wu C. X.; Wei Z. P.; Zhang Z. Z.; Zhao D. X.; Zhang J. Y.; Liu Y. C.; Shen D. Z.; Fan X. W. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 In this paper Mg0.12Zn0.88O/ZnO heterostructures were fabricated on c-plane sapphire (Al2O3) substrates by plasma-assisted molecular beam epitaxy (P-MBE). The quality of the Mg 0.12Zn0.88O alloy thin film was characterized by X-ray diffraction (XRD) and reflection high-energy electron diffraction (RHEED). Optical properties of the Mg0.12Zn0.88O/ZnO heterostructure were studied by absorption and photoluminescence (PL) spectra. At room temperature (RT) Mg0.12Zn0.88O/ZnO heterostructures show two absorption edges originating from ZnO and Mg 0.12Zn0.88O layers respectively. In PL spectra two ultraviolet emission bands related to the ZnO layer and the Mg 0.12Zn0.88O layer were observed. The emission band from Mg0.12Zn0.88O layer dominates at moderately lower temperature and the luminescence of ZnO becomes gradually important with increasing temperature. This is suggested to exist as a potential barrier in the interface and to restrict the relaxation of the carriers from the Mg 0.12Zn0.88O layer to ZnO layer. As the thickness of ZnO layer decreases the emission from the Mg0.12Zn0.88O layer becomes weaker and weaker. When the ZnO thickness is up to 2 nm only the luminescence of the ZnO layer is observed at RT. The quenching of the emission corresponding to the MgZnO layer indicates the existence of a strong injection process in the samples with thinner ZnO layer. 2005 Elsevier B.V. All rights reserved.