300 MN水压机垫板组力学行为规律研究

针对巨型水压机多层垫板组力学行为的多维非线性特征,本文应用作者开发的多体接触有限元程序,分析了300MN水压机垫板组力学行为规律,揭示了垫板组加载方式为几何空间状态与力学行为的相关性,说明了垫板组异常变形机制,提出了垫板组设计和使用的几点准则。     

群速度和相速度的微机模拟

本文介绍了作者开发的群速度和相速度微机模拟软件的程序设计和实现．该软件做为演示实验已经取得了良好的效果．     

SL(2,R)上的Hardy-Littlewood极大函数的性质

本文给出了SL(2,R)上的Hardy-Littlewood极大函数mf的定义,利用Ergodic定理证明了Hardy-Littlewood极大函数的强(p,p)型性质,p>1.     

探求高等数学中的对称美

高等数学中的对称关分为三类：形式和结构的对称性、命题关系中的对偶性及解题策略中的对称法。     

应用对称性研究碱金属原子的能级分裂

应用对称性研究了碱金属原子在无外场而有自旋轨道耦合作用和在均匀强弱磁场中的能级分裂，并计算了其能级一级近似值。     

矩阵的相似准直和与群逆

首先引入矩阵的相似准直和的定义,讨论了它和群逆的关系,得到了一些性质和应用。     

神经网络在成组技术方面的应用

阐述了成组技术及其在高级制造技术中的作用，在此基础上描述了神经网络在零件编码分类系统中的应用以及用神经网络设计制造单元的方法。     

Why the Afshar experiment does not refute complementarity

A modified version of Young's experiment by Shahriar Afshar demonstrates that, prior to what appears to be a “which-way” measurement, an interference pattern exists. Afshar has claimed that this result constitutes a violation of the Principle of Complementarity. This paper discusses the implications of this experiment and considers how Cramer's Transactional Interpretation easily accommodates the result. It is also shown that the Afshar experiment is analogous in key respects to a spin one-half particle prepared as “spin up along x”, subjected to a nondestructive confirmation of that preparation, and post-selected in a specific state of spin along z. The terminology “which-way” or “which-slit” is critiqued; it is argued that this usage by both Afshar and his critics is misleading and has contributed to confusion surrounding the interpretation of the experiment. Nevertheless, it is concluded that Bohr would have had no more problem accounting for the Afshar result than he would in accounting for the aforementioned pre- and post-selection spin experiment, in which the particle's preparation state is confirmed by a nondestructive measurement prior to post-selection. In addition, some new inferences about the interpretation of delayed choice experiments are drawn from the analysis.     

基于语言偏好的群体决策的软解法

群体决策模型用于支持系统或专家系统，面临的两个问题是：自然语言与机器语言的匹配以及模型解与决策者意向交融．本文在许多学者大量工作的基础上，试图提出群决策的软化求解模型．主要提出两方面的结果：一是多准则语言偏好的综合；二是采用模糊匹配方法和语言变量的软算法将个人语言偏好聚集为群体可接受决策解．最后给出实例计算以说明操作步骤．该模型可用于人－机交流式ＧＤＳＳ或小群（７～１２人）会议支持系统的软件设计