高炉开铁口机的轴压扭矩分析

通过对开铁口机轴压扭矩的分析和研究，得出了在旋转钻进过程中增加冲打是提高钻进速度的有效手段，当激振力为10kN，送进力取1.5～4.5kN时，冲打作用能够使钻进速度比不冲打时提高约1.5～2.5倍，平均扭矩约为不冲打时的1/4～1/2。     

Two Methods for Deriving Members′Weights in Group Decision Making

1　IntroductionThe Analytic Hierarchy Process(AHP) ,introduced by Saaty[7] ,is one of the popular andpowerful technique for decision making,and has also been applied to group decisionproblems(Hannan[2 ] ,Khorramshahgol and Moustakis[5] ,Islei and Lockett[3] ) .TheWeighted Arithmetic Mean Method (WAMM) and Weighted Geometric Mean Method(WGMM) are the mostcommon group preference aggregation methods in AHP.In orderto use the WAMM and WGMM,one has to find the weights to be assigned…     

离心泵叶轮回转S1流面流函数方程的理论研究

根据离心泵叶轮S     

故障诊断专家系统学习机制

根据机器学习的特点，提出并设计了一种能在故障诊断过程中进行参数修正学习、知识扩充，并在诊断结束后能对知识进行归纳的专家系统学习机制。这一系统在可视化工程环境（ＶＥＥ）平台下实现，能有效地运行，使用方便。     

Primary Structural and Quantitative Analysis of Infeasible Solution to Job shop Scheduling Problem

1　IntroductionTheJobShopSchedulingProblemisawell-knownNP-hardproblem,whichattractslotsofmathematiciansallovertheworldspendingmuchtimeandenergyinthisfield.Uptonowtherearemanyefficientheuristicalgorithms,whichhadalreadybeendeveloped,buttheinfeasiblesolutioncertainlypossessesthemajorityofsearchspacewhichhasinfluencedtheefficiencyofthesealgorithms.Atthemoment,noonehasbeenfoundtobededicatingtothequantitativeanalysisoftheinfeasiblesolutionproblem.InthispaperthestructureofinfeasiblesolutiontoJSS…     

A kind of Generalized Learning Model

1　IntroductionSymboliclearning,connectivelearning,fuzzylearningandevolutionarylearningarethepresentfundamentalmethodsformachinelearning[1～3].Eachofthemhascharacteristicsandadvantages,andcancarryoutmachinelearningtasksincertainregioneffectively.Howe...     

最大后验概率在三维显微图像恢复中的应用

针对显微镜系统造成三维荧光显微图像模糊问题，提出一种基于线性的最大后验概率算法（LMAP），该算法以线性最小均方（LLS）为基础，引入平滑因子，通过调节小特征值克服病态问题，达到快速处理显微图像的目的，对LMAP算和LLS算法的图像处理结果进行了比较。     

RBF神经网络在煤的热解特性研究中的应用

在MATLAB5．3环境下，利用神经网络工具箱中的RBF神经网络算法，通过煤的元素分析和工业分析对煤的热解特性进行了研究，对热解析温度T1，最大反应速度对应的温度T1max，热解前期热解量G1以及热解完成时间 t进行了预报，预测结果表明用RBF神经网络来研究煤的热解特性，可以达到较高精度，是一种很好的研究方法。     

External synchronization of two dynamical systems with uncertain parameters

External synchronization is addressed as two or more dynamical systems with synchronous motions, which is also regarded as master-slave system. In this paper, two dynamical systems, one employs a hysteretic term to model the friction phenomenon, the other involves a hardening stiffness component with the third order of displacement due to flexible deformation, are controlled to converge to the same trajectory. The control strategy is extended from feedback control for all parameters known to adaptive contro...     

Improved generalized cell mapping for global analysis of dynamical systems

Three main parts of generalized cell mapping are improved for global analysis.A simple method,which is not based on the theory of digraphs,is presented to locate complete self-cycling sets that correspond to attractors and unstable invariant sets involving saddle,unstable periodic orbit and chaotic saddle.Refinement for complete self-cycling sets is developed to locate attractors and unstable invariant sets with high degree of accuracy,which can start with a coarse cell structure.A nonuniformly interior-and...