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浏览/检索结果: 共11条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Cloud model driven assessment of interregional water ecological carrying capacity and analysis of its spatial-temporal collaborative relation 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2023, 卷号: 384, 页码: 17 作者:  Yang, Lingzhi;  Chen, Yizhong;  Lu, Hongwei;  Qiao, Youfeng;  Peng, He   |  收藏  |  浏览/下载：33/0  |  提交时间：2023/02/06 Water ecological carrying capacity  Cloud model  Combination prediction  Spatial -temporal collaborative relation  Efficiency analysis   Rockburst tendency prediction based on an integrating method of combination weighting and matter-element extension theory: A case study in the Bayu Tunnel of the Sichuan-Tibet Railway 期刊论文  OAI收割 ENGINEERING GEOLOGY, 2022, 卷号: 308, 期号: -, 页码: - 作者:  Li, Shaojun;  Kuang, Zhihao;  Xiao, Yaxun;  Qiao, Zhibin;  Yang, Wenbin   |  收藏  |  浏览/下载：22/0  |  提交时间：2023/08/02 Bayu Tunnel  Rockburst tendency  Prediction model  Combination weighting method  Matter-element extension theory   Multi-step ahead short-term predictions of storm surge level using CNN and LSTM network 期刊论文  OAI收割 ACTA OCEANOLOGICA SINICA, 2021, 卷号: 40, 期号: 11, 页码: 104-118 作者:  Wang, Bao;  Liu, Shichao;  Wang, Bin;  Wu, Wenzhou;  Wang, Jiechen   |  收藏  |  浏览/下载：45/0  |  提交时间：2022/09/21 storm surge  prediction  CNN  LSTM  combination   Classification of controlling factors and determination of a prediction model for shale gas adsorption capacity: A case study of Chang 7 shale in the Ordos Basin 期刊论文  OAI收割 JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2018, 卷号: 49, 页码: 260-274 作者:  Xing, Jinyan;  Hu, Shengbiao;  Jiang, Zhenxue;  Wang, Xiangzeng;  Wang, Jialiang   |  收藏  |  浏览/下载：29/0  |  提交时间：2018/09/26 Methane Adsorption Capacity  Primary Controlling Factors  Quantitative Prediction Model  Combination Method  Ordos Basin   Classification of controlling factors and determination of a prediction model for shale gas adsorption capacity: A case study of Chang 7 shale in the Ordos Basin 期刊论文  OAI收割 JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2018, 卷号: 49, 页码: 260-274 作者:  Xing, Jinyan;  Hu, Shengbiao;  Jiang, Zhenxue;  Wang, Xiangzeng;  Wang, Jialiang   |  收藏  |  浏览/下载：23/0  |  提交时间：2018/09/26 Methane Adsorption Capacity  Primary Controlling Factors  Quantitative Prediction Model  Combination Method  Ordos Basin   Reconstructing building mass models from UAV images 期刊论文  OAI收割 Computers and Graphics (Pergamon), 2016, 卷号: 54, 页码: 84-93 作者:  Li, Minglei;  Nan, Liangliang;  Smith, Neil;  Wonka, Peter 收藏  |  浏览/下载：42/0  |  提交时间：2017/04/24 ARTIFICIAL NEURAL-NETWORKS  WEIGHTED LINEAR COMBINATION  2008 WENCHUAN EARTHQUAKE  BLACK-SEA REGION  CONDITIONAL-PROBABILITY  FREQUENCY RATIO  HONG-KONG  BIVARIATE STATISTICS  SAMPLING STRATEGIES  SPATIAL PREDICTION   Suitability of revision to MUSLE for estimating sediment yield in the Loess Plateau of China SCI/SSCI论文  OAI收割 2016 作者:  Luo Y.;  Yang, S. T.;  Liu, X. Y.;  Liu, C. M.;  Zhang, Y. C.   |  收藏  |  浏览/下载：25/0  |  提交时间：2017/11/09 Suitability of MUSLE  Combination  Cover and management factor  Support  practice factor  Topographic factor  The Loess Plateau of China  soil loss equation  steep slopes  land-use  erosion  prediction  impacts  region  runoff  models   Exchange rate prediction with non-numerical information 期刊论文  OAI收割 NEURAL COMPUTING & APPLICATIONS, 2011, 卷号: 20, 期号: 7, 页码: 945-954 作者:  Wang, Zhi-Bin;  Hao, Hong-Wei;  Yin, Xu-Cheng;  Liu, Qian;  Huang, Kaizhu 收藏  |  浏览/下载：17/0  |  提交时间：2015/08/12 Exchange rate prediction  Non-numerical information quantification  Support vector regression  Predictor combination   Optimum design of the carbon fiber thin-walled baffle for the space-based camera (EI CONFERENCE) 会议论文  OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Space Exploration Technologies and Applications, May 24, 2011 - May 26, 2011, Beijing, China Yan Y.; Gu S.; An Y.; Jin G. 收藏  |  浏览/下载：20/0  |  提交时间：2013/03/25 The thin-walled baffle design of the space-based camera is an important job in the lightweight space camera research task for its stringent quality requirement and harsh mechanical environment especially for the thin-walled baffle of the carbon fiber design. In the paper  an especially thin-walled baffle of the carbon fiber design process was described and it is sound significant during the other thin-walled baffle design of the space camera. The designer obtained the design margin of the thin-walled baffle that structural stiffness and strength can tolerated belong to its development requirements through the appropriate use of the finite element analysis of the walled parameters influence sensitivity to its structural stiffness and strength. And the designer can determine the better optimization criterion of thin-walled baffle during the geometric parameter optimization process in such guiding principle. It sounds significant during the optimum design of the thin-walled baffle of the space camera. For structural stiffness and strength of the carbon fibers structure which can been designed  the effect of the optimization will be more remarkable though the optional design of the parameters chose. Combination of manufacture process and design requirements the paper completed the thin-walled baffle structure scheme selection and optimized the specific carbon fiber fabrication technology though the FEM optimization  and the processing cost and process cycle are retrenchment/saved effectively in the method. Meanwhile  the weight of the thin-walled baffle reduced significantly in meet the design requirements under the premise of the structure. The engineering prediction had been adopted  and the related result shows that the thin-walled baffle satisfied the space-based camera engineering practical needs very well  its quality reduced about 20%  the final assessment index of the thin-walled baffle were superior to the overall design requirements significantly. The design method is reasonable and efficient to the other thin-walled baffle that mass and work environment requirement is requirement harsh. 2011 SPIE.   Correcting the systematic error of the density functional theory calculation: the alternate combination approach of genetic algorithm and neural network 期刊论文  OAI收割 chinese physics b, CHINESE PHYSICS B, 2010, 2010, 卷号: 19, 19, 期号: 7, 页码: art. no. 076401, Art. No. 076401 作者:  Wang TT (Wang Ting-Ting);  Li WL (Li Wen-Long);  Chen ZH (Chen Zhang-Hui);  Miao L (Miao Ling);  Chen, ZH, Chinese Acad Sci, Inst Semicond, State Key Lab Superlattices & Microstruct, Beijing 100083, Peoples R China. 电子邮箱地址: zhanghuichen88@gmail.com   |  收藏  |  浏览/下载：106/1  |  提交时间：2010/08/17 density functional theory  Density Functional Theory  Neural Network  Genetic Algorithm  Alternate Combination  Linear-regression Correction  Training Set  Electron-gas  Prediction  Approximation  Descriptors  Accurate  Energy  Heat  neural network  genetic algorithm  alternate combination  LINEAR-REGRESSION CORRECTION  TRAINING SET  ELECTRON-GAS  PREDICTION  APPROXIMATION  DESCRIPTORS  ACCURATE  ENERGY  HEAT