创新研究系统隐性知识生成转化反馈环特性仿真分析

隐性知识反馈环结构是创新研究系统的核心结构,运用组织管理系统动力学理论,进行科研创新系统隐性知识生产转化系统仿真研究,以南昌大学系统动力学创新团队研究系统为例,分析确定该系统的隐性知识量、显性知识量、创新投资量、团队人员数和创新成果量五个核心变量,运用新建的逐枝建模和逐树仿真技术建立五棵流率基本入树模型及其等价流图模型.运用枝向量行列式新增反馈环计算法,计算出系统包含创新成果流位作用于隐性知识流入率的第一类反馈环五条,团队成员数作用于隐性知识流入率第二类正反馈环十条.然后,结合模型的仿真曲线和仿真数据,对第一类反馈环进行极性转移仿真分析和主导反馈环转移仿真分析,对第二类正反馈环进行正反馈环的作用分析,以及"原始创新度"低对这十条正反馈环的制约分析,并基于上述十五条反馈环特性仿真分析结果提出四条创新研究系统发展对策.     

Hybrid SVM／HMM Method for Face Recognition

A face recognition system based on Support Vector Machine(SVM) and Hidden Markov Model (HMM) has been proposed. The powerful discriminative ability of SVM is combined with the temporal modeling ability of HMM. The output of SVM is moderated to be probability output, which replaces the Mixture of Gauss (MOG) in HMM. Wavelet transformation is used to extract observation vector, which reduces the data dimension and improves the robustness.The hybrid system is compared with pure HMM face recognition method based on ORL face database and Yale face database. Experiments results show that the hybrid method has better performance.     

DEA-based anti-HIV immunotherapy model

Acquiredimmunitydeficiencysyndrome(AIDS)isoneofthemostfataldiseasesthathasspreadacrossthewholeworldsinceitfirstoccurred.Itiscausedbythehumanimmunodeficiencyvirus(HIV)[1].Mostofthechemotherapiesareaimedatkillingorhaltingthepathogen,butanewtreatmentistoreduceviralpopulationandimprovetheimmuneresponse.Thistreatmentcanboosttheimmunesystemandservetohelpthebodyfightinfectiononitsown,soitiscalledantiHIVimmunotherapy[2,3].TheaimofthisworkistofindefficientstrategiesforsuchtreatmentsusingtheDataEnv…     

延迟微分反馈法控制混沌

利用可测变量的微商进行反馈,提出了用延迟微分反馈控制(DDFC:DelayedDifferentialFeedbackControl)实现混沌控制的方法。理论证明了微分反馈控制和DDFC控制Lü系统3个平衡点的稳定可控性。在Matlab进行了数值仿真,结果表明,通过调节延迟时间τ和控制增益k,DDFC系统能自动寻找和稳定不同的不稳定周期轨道(UPO:UnstablePeriodicOrbit),实现混沌控制。     

负反馈电桥在电阻传感器线性化中的应用

本文介绍利用信号流图及梅森公式分析设计负反馈电桥电路,以及在电阻传感器测量线性化中的应用。     

RSCRR空间5杆变角机构的结构和几种位置分析方法

本文对有名的 RSCRR 空间5杆变角机构进行了结构分析,进而用4种不同的方法对其进行位置分析,得出了相同的结论,证明了机构输出角δ与输入角α的关系是δ:arcsin[ctgλtg(arcctg((a/e)+cisa)/(sina))],并用实例证明了结论的正确。     

Forecasting trend output in the Euro area

This paper is an applied study about forecasting trend output and the output gap in the Euro area. The need for trend output forecasts is justified by an analysis of the monetary strategy of the European Central Bank. Trend output serves as a direct inflation indicator and helps to determine the reference value for money. For both purposes, trend output has to be forecasted. A permanent–transitory decomposition based on cointegration restrictions gives an estimate of trend output in the Euro area. Ex‐ante point forecasts of trend output are computed and bootstrap simulation is employed to construct prediction intervals that take estimation uncertainty into consideration. The uncertainty of trend output and the output gap is quite large and raises questions about their usefulness as indicators for monetary policy. Copyright © 2002 John Wiley & Sons, Ltd.     

用非线性反馈控制混沌Roessler系统到达任意目标

本文设计了识别不确定Roessler系统未知参数的观测器，提出了控制Roessler系统中混沌的非线性反馈控制策略。数值模拟结果表明：观测器可以有效地标识未知参数；选取不同的目标参数，既可以使Roessler系统稳定在不同周期轨道上，也可以稳定在任意目标点上。