多变量过程自组织学习控制新方法及其实时实现

本文论述一种利用相联存储器系统的多变量自组织学习控制新方法及其实时实现。在线学习包含两个步骤:被控过程的动态输入—输出特性用仿视感控器的方式逐步存入一个相联存储器中,用来作为预测过程模型;依靠一种特殊的输出预测算法,利用预测过程模型并通过单步超前性能指标最优化来规划控制策略,经教练后的控制策略以同样的方式存入第二个相联存储器中。文中提出了一种特殊的采样和更新方法。通过仿真和实时应用证明了所述学习控制新方法的可行性。     

加强医院文化建设增强医院核心竞争力

医院文化建设从一定意义上说,是医疗体制改革中医院核心竞争力的重要组成部分。当前,医院文化建设同改革形势相比相对滞后,文化构建也不尽合理。需要从疏导问题入手,培植自己的特色品牌,加强物质文化建设,打造医院文化的强势。     

On lower confidence bounds for pcs in truncated location parameter models

We are concerned with deriving lower confidence bounds for the probability of a correct selection in truncated location-parameter models. Two cases are considered according to whether the scale parameter is known or unknown. For each case, a lower confidence bound for the difference between the best and the second best is obtained. These lower confidence bounds are used to construct lower confidence bounds for the probability of a correct selection. The results are then applied to the problem of seleting the best exponential populationhaving the largest truncated location-parameter. Useful tables are provided for implementing the proposed methods.     

Application of Dirichlet mixture of normals in growth curve models

In this paper, we present growth curve models with an auxiliary variable which contains an uncertain data distribution based on mixtures of standard components, such as normal distributions. The multimodality of the auxiliary random variable motivates and necessitates the use of mixtures of normal distributions in our model. We have observed that Dirichlet process priors, composed of discrete and continuous components, are appropriate in addressing the two problems of determining the number of components and estimating the parameters simultaneously and are especially useful in the aforementioned multimodal scenario. A model for the application of Dirichlet mixture of normals (DMN) in growth curve models under Bayesian formulation is presented and algorithms for computing the number of components, as well as estimating the parameters are also rendered. The simulation results show that our model gives improved goodness of fit statistics over models without DMN and the estimates for the number of components and for parameters are reasonably accurate.     

价值视域与文艺学知识生产——兼论全球化语境下文学理论的价值取向问题

作为近代西方知识理性主导下人文知识学科化进程的产物,文艺学具有学科知识生产依据的特殊规定性。此规定性决定了价值性因素不仅是相关学科知识生产成果的反思和批判维度,而且还直接参与了相关学科知识生产的具体过程。这体现在：一方面,知识生产者的价值评判与追求为特定文论知识的产出提供了一种不可或缺的“智性”品质与创造性品格,并使得无学科、前判断的文学经验现身为意义自洽的理论知识表述;另一方面,这种价值评判与追求还积极参与了文艺学学科的知识形态构成,进而以其导引与续接功能而在学科观念层面保证了相关知识生产的人文意向。价值向度关涉文艺学知识生产所应具有的实践的可行性与学理的合法性,正确认识并重申这一向度是推进文艺学学科自觉建设的重要理论前提。