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20篇 您的检索式:作者名="AnHai"
    题名 作者 年代 出处 被引量
1Halevy:Learning to map between ontologies on the semantic web显示文摘AnHai Doan Jayant Madhavan Pedro Domingos Alon Y 2002WWW2002,,:1
2Learning to match ontologies on the Semantic Web显示文摘AnHai Doan Jayant Madhavan Robin Dhamankar Pedro Domingos Alon Halevy 2003VLDB Journal2003,,12:1
3Learning to match ontologies on the Semantic Web显示文摘AnHai Doan Jayant Madhavan Robin Dhamankar Pedro Domingos Alon Halevy 2003The VLDB Journal2003,,4:1
4Progressive tool failure in high-speed dry milling of Ti-6Al-4V alloy with coated carbide tools显示文摘Anhai Li Jun Zhao Hanbing Luo Zhiqiang Pei Zeming Wang 2012The International Journal of Advanced Manufacturing Technology (-)2012,,5:1
5Learning to match ontologies on the Semantic Web显示文摘AnHai Doan Jayant Madhavan Robin Dhamankar Pedro Domingos Alon Halevy 2003The VLDB Journal2003,,4:1
6Halevy Semantic Integration Research in the Database Community:A Brief Survey显示文摘AnHai Doan Alon Y 2005AI Magazine2005,26,1:1
7Three-point bending fatigue be- havior of WC-Co cemented carbides显示文摘Li Anhai Zhao Jun Wang Dong 2013Materials and Design2013,45,:1
8Three-point bending fatigue behavior of WC-Co cemented carbides显示文摘Li Anhai Zhao Jun Wang Dong 2013Materials & Design2013,45,:1
9Failure mechanisms of a \PCD tool in high-speed face milling of Ti-6A14V alloy 显示文摘Anhai Li Jun Zhao Dong Wang 2013Int J Adv Manuf Technol2013,67,9:1
10Learning to map between ontologies on the semantic web显示文摘AnHai Doan Jayant Madhavan etc 2002ACM2002,,5:1
11Progressive tool failure in high-speed dry milling of Ti-6A1-4V alloy with coated carbide tools显示文摘Anhai Li Jun Zhao Hanbing Luo 2012Int J Adv Manuf Technol2012,58,5:1
12Experimental Investigation on Chip Morphologies in High-Speed Dry Mill ing of Titanium Alloy Ti-6A1-4V显示文摘LI Anhai ZHAO Jun ZHOU Yonghui 2012International Journal of Advanced Manufacturing Technology2012,62,912:1
13Semantic Integration Research in the Database Community显示文摘AnHai Doan Alon Y Halevy 2005AI Magazine Special Issue on Semantic Integration2005,26,1:1
14Learning to match ontologies on the Semantic Web显示文摘AnHai Doan Jayant Madhavan Robin Dhamankar Pedro Domingos Alon Halevy 2003The VLDB Journal2003,,4:1
15Simulation-based solid carbide end mill design and geometry optimization显示文摘LI Anhai ZHAO Jun PEI Zhiqiang 2014The International Journal of Advanced Manufacturing Technology2014,71,9101112:1
16Learning to match ontologies on the Semantic Web显示文摘AnHai Doan Jayant Madhavan Robin Dhamankar Pedro Domingos Alon Halevy 2003The VLDB Journal2003,,4:1
17Semantic integration research in the database community显示文摘Anhai Doan Alon Y Halevy 2005AI Magazine Special Issue on Semantic integration2005,26,1:1
18Investigation on ball end milling of P20 die steelwith cutter orientation显示文摘Xiaoxiao Chen Jun Zhao Yueen Li Shiguo Han Qingyuan Cao Anhai Li 0,,:1
19Calibration of soil parameters based on intelligent algorithm using efficient sampling method显示文摘This study combined a neural network and Latin hypercube sampling(LHS)to calibrate soil parameters.The Monte Carlo parameters were calibrated by generating different numbers of training samples for pressuremeter tests and excavations.The results showed that when the number of samples was 25 or 50,the parameter calibration accuracy was very high.However,the improvement in accuracy did not increase significantly with a further increase in the number of samples,but tended to be stable.The number of training samples was set at 50 to strike a balance between the calibration accuracy and efficiency for four parameters.For 25 groups of samples,the calibration results using LHS were better than those using orthogonal sampling.Compared to stochastic optimization algorithms,a neural network combined with LHS could significantly reduce the calibration time.This method was applied to actual foundation pit engineering in China.The results showed that using the proposed calibration method clearly improved the accuracy when predicting the deformation induced by the excavation.Jiangu Qian Wei Xu Linlong Mu Anhai Wu 2021Underground Space2021,6,3:0
20Simulation of Oil-Water Flow in a Shale Reservoir Using a Radial Basis Function显示文摘Due to the difficulties associated with preprocessing activities and poor grid convergence when simulating shale reservoirs in the context of traditional grid methods,in this study an innovative two-phase oil-water seepage model is elaborated.The modes is based on the radial basis meshless approach and is used to determine the pressure and water saturation in a sample reservoir.Two-dimensional examples demonstrate that,when compared to the finite difference method,the radial basis function method produces less errors and is more accurate in predicting daily oil production.The radial basis function and finite difference methods provide errors of 5.78 percent and 7.5 percent,respectively,when estimating the daily oil production data for a sample well.A sensitivity analysis of the key parameters that affect the radial basis function’s computation outcomes is also presented.Zenglin Wang Liaoyuan Zhang Anhai Zhong Ran Ding Mingjing Lu 2022Fluid Dynamics & Materials Processing2022,18,6:0
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