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24篇 您的检索式：作者名="XIAO Yanting"

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	题名	作者	年代	出处	被引量
1	CONSTANT WORK-POINT CONTROL FOR PARALLEL HYBRID SYSTEM WITH CAPACITOR ACCUMULATOR IN HYDRAULIC EXCAVATOR显示文摘在混合水力的开凿者的各种各样的蓄电池的限制被分析。基于经常的工作点控制把电容器用作蓄电池的一个程序被提出。模仿混合构造机械的试验性的系统的 A 被建立,并且经常的工作点上的试验性的学习控制因为有电容器蓄电池的平行混合系统被执行使用作为模仿的负担在实际工作从水力的开凿者的吊杆柱体导出的压力和流动率。两倍工作点控制的一个程序被进一步的实验建议并且证明。	ZHANG Yanting WANG Qingfeng XIAO Qing FU Qiang	2006	Chinese Journal of Mechanical Engineering2006，19，4：	4
2	Soil aggregates and organic carbon affected by the land use change from rice paddy to vegetable field显示文摘	Hao Wang Dongsheng Guan Renduo Zhang Yujuan Chen Yanting Hu Ling Xiao	2014	Ecological Engineering2014，，：	2
3	Control st-rategies of power system in hybrid hydraulic excavato-r 显示文摘	Qing Xiao Qingfeng Wang Yanting Zhang	2008	Automation in Construcion2008，17，4：	1
4	Control strategies of power system in hybrid hydraulic excavator显示文摘	XIAO Qing WANG Qingfeng ZHANG Yanting	2008	Automation in Construction2008，17，4：	1
5	Control strate gies of power system in hybrid hydraulic excavator显示文摘	Xiao Qing Wang Qingfeng Zhang Yanting		0，，04：	1
6	Con- trol Strategies of Power System in Hydraulic Exca- vator显示文摘	Xiao Qing Wang Qingfeng Zhang Yanting	2008	Automation in Construction2008，17，4：	1
7	Control Strategies of Power System in Hybrid Hydraulic Excavator 显示文摘	XIAO Qing WANG Qingfeng ZHANG Yanting	2008	Automation in Construction2008，17，4：	1
8	Control strategies of power system in hybrid hydraulic excava- tor显示文摘	Xiao Qing Wang Qingfeng Zhang Yanting	2008	Automation in Construction2008，17，4：	1
9	MicroRNA-126 functions as a tumor suppressor in colorectal cancer cellsby targeting CXCR4 via the AKT and ERK1/2 signaling pathways显示文摘	Yaling Liu Yu Zhou Xiao Feng Ping An Xiaojing Quan Hao Wang Shicai Ye Caiyuan Yu Yanting He Hesheng Luo	2014	International Journal of Oncology2014，，1：	1
10	LEARNING MULTIVARIATE TIME SERIES CAUSAL GRAPHS BASED ON CONDITIONAL MUTUAL INFORMATION显示文摘Detection and clarification of cause-effect relationships among variables is an important problem in time series analysis.This paper provides a method that employs both mutual information and conditional mutual information to identify the causal structure of multivariate time series causal graphical models.A three-step procedure is developed to learn the contemporaneous and the lagged causal relationships of time series causal graphs.Contrary to conventional constraint-based algorithm, the proposed algorithm does not involve any special kinds of distribution and is nonparametric.These properties are especially appealing for inference of time series causal graphs when the prior knowledge about the data model is not available.Simulations and case analysis demonstrate the effectiveness of the method.	Yuesong WEI Zheng TIAN Yanting XIAO	2013	Journal of Systems Science and Systems Engineering2013，22，1：	1
11	ControlStrategies of Power System in Hybrid Hydraulic Excavator显示文摘	XIAO Qiang WANG Qingfeng ZHANG Yanting	2008	Automation in Construction2008，，17：	1
12	Control Strategies of Power System in Hydraulic Excavator显示文摘	XIAO Qing WANG Qingfeng ZHANG Yanting	2008	Automation in Construction2008，17，4：	1
13	Control strategies of power system in hybrid hydraulic excavator 显示文摘	Xiao Qing Wang Qingfeng Zhang Yanting	2008	Automation in Construction2008，17，4：	1
14	Control Strategies of Power System in Hybrid Hydraulic Excavator显示文摘	Xiao Qing Wang Qingfeng Zhang Yanting	2008	Automation in Construction2008，17，4：	1
15	Control strategies of power system in hybrid hydraulic excavator显示文摘	Xiao Qiang Wang Qingfeng Zhang Yanting	2008	Automation in construction2008，17，4：	1
16	Control strategies of power system in hybrid hydraulic excavator 显示文摘	XIAO Qing WANG Qingfeng ZHANG Yanting	2008	Automation in Construetion2008，17，4：	1
17	Complex coacervation of soybean protein isolate and chitosan显示文摘	HUANG Guoqing SUN Yanting XIAO Junxia	2012	Food Chem2012，135，2：	1
18	Control strategies of power system in HHE 显示文摘	XIAO Qing WANG Qingfeng ZANG Yanting	2008	Automation in Construction2008，17，4：	1
19	LEARNING CAUSAL GRAPHS OF NONLINEAR STRUCTURAL VECTOR AUTOREGRESSIVE MODEL USING INFORMATION THEORY CRITERIA显示文摘Detection and clarification of cause-effect relationships among variables is an important problem in time series analysis.Traditional causality inference methods have a salient limitation that the model must be linear and with Gaussian noise.Although additive model regression can effectively infer the nonlinear causal relationships of additive nonlinear time series,it suffers from the limitation that contemporaneous causal relationships of variables must be linear and not always valid to test conditional independence relations.This paper provides a nonparametric method that employs both mutual information and conditional mutual information to identify causal structure of a class of nonlinear time series models,which extends the additive nonlinear times series to nonlinear structural vector autoregressive models.An algorithm is developed to learn the contemporaneous and the lagged causal relationships of variables.Simulations demonstrate the effectiveness of the proposed method.	WEI Yuesong TIAN Zheng XIAO Yanting	2014	Journal of Systems Science & Complexity2014，27，6：	1
20	Empirical likelihood based inference for parameter and nonpara-metric function in partially nonlinear models 显示文摘	XIAO Yanting TIAN Zheng LI Fuxiao	2014	Journal of the Korean Statistical Society2014，43，：	1

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