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7篇 您的检索式：作者名="Lou Liren"

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		题名	作者	年代	出处	被引量
	1	On the aggregation kinetics of two particles trapped in an optical tweezers显示文摘	Xu Shenghua Lou Liren Li Yinmei	2005	Colloids and Surfaces A:Physicochem Eng Aspects2005，255，1：	1
	2	Laser-induced tobacco protoplast fusion显示文摘	Li Yinmei Guan Lijie Lou Liren	1999	SCIENCE IN CHINA( Seires C)1999，42，2：	1
	3	Blue upconversion of cubic Gd2 O3 : Er3+ produced by green laser显示文摘	Guo Hai Li Yunfeng Wang Dianyuan Zhang Weiping Yin Min Lou Liren Xia Shangda	2004	Journal of Alloys andCompounds2004，376，：	1
	4	Structure and optical properties of rare earth doped Y203 waveguide films derived by sol-gel process显示文摘	Guo Hai Zhang Weiping Lou Liren	2004	Thin Solid Films2004，458，12：	1
	5	Laser-induced Tobacco Protoplast Fusion显示文摘	LI Yinmei GUAN Lijie LOU Liren	1999	Science in China(Seires C)1999，42，2：	1
	6	Lpconversion in LaF3:Tm^3+显示文摘	Huang Shihua Shui T Lar Lou Liren	1981	Phys Rev B1981，24，1：	1
	7	Application of BP neural networks in non-linearity correction of optical tweezers显示文摘The back-propagation(BP)neural network is proposed to correct nonlinearity and optimize the force measurement and calibration of an optical tweezer sys-tem.Considering the low convergence rate of the BP algo-rithm,the Levenberg-Marquardt(LM)algorithm is used to improve the BP network.The proposed method is experimentally studied for force calibration in a typical optical tweezer system using hydromechanics.The result shows that with the nonlinear correction using BP net-works,the range of force measurement of an optical tweezer system is enlarged by 30%and the precision is also improved compared with the polynomial fitting method.It is demonstrated that nonlinear correction by the neural network method effectively improves the per-formance of optical tweezers without adding or changing the measuring system.	Ziqiang WANG Yinmei LI Liren LOU Henghua WEI Zhong WANG	2008	Frontiers of Electrical and Electronic Engineering in China2008，3，4：	0

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