Weight smoothing to improve network generalization

A weight smoothing algorithm is proposed in this paper to improve a neural network's generalization capability. The algorithm can be used when the data patterns to be classified are presented on an n-dimensional grid (n>/=1) and there exists some correlations among neighboring data points within a pattern. For a fully-interconnected feedforward net, no such correlation information is embedded into the architecture. Consequently, the correlations can only be extracted through sufficient amount of network training. With the proposed algorithm, a smoothing constraint is incorporated into the objective function of backpropagation to reflect the neighborhood correlations and to seek those solutions that have smooth connection weights. Experiments were performed on problems of waveform classification, multifont alphanumeric character recognition, and handwritten numeral recognition. The results indicate that (1) networks trained with the algorithm do have smooth connection weights, and (2) they generalize better.     

在经典极限下量子斯特林制冷机的优化

经济利润率是评价一个实际热力装置的主要指标之一。将有限时间热力学，非平衡量子统计理论和yong经济学相结合，导出了量子斯特林制冷机的最大利润率以及对应的性能界限，其结果与实际斯特林制冷机的优化设计和模型评估提供了一个最佳的预选方案。     

Finite-difference time-domain simulation of scattering from objectsin continuous random media

A three-dimensional (3D) finite-difference time-domain (FDTD) scheme is introduced to model the scattering from objects in continuous random media. FDTD techniques have been previously applied to scattering from random rough surfaces and randomly placed objects in a homogeneous background, but little has been done to simulate continuous random media with embedded objects where volumetric scattering effects are important. In this work, Monte Carlo analysis is used in conjunction with FDTD to study the scattering from perfectly electrically conducting (PEC) objects embedded in continuous random media. The random medium models under consideration are chosen to be inhomogeneous soils with a spatially fluctuating random permittivities and prescribed correlation functions. The ability of frequency averaging techniques to discriminate objects in this scenarion is also briefly investigated. The simulation scheme described in this work can be adapted and used to help in interpreting the scattered field data from targets in random environments such as geophysical media, biological media, or atmospheric turbulence     

顶封封隔管柱的研制与应用

中原油田近年来注水压力不断升高，井况恶化严重，为此开发了顶封封隔管柱，主要阐述了管柱工况受力特点、结构、工作原理及现场使用效果。经现场较大面积的应用证明，各项性能、技术指标达到了现场要求。     

二过碘酸合银（Ⅲ）钾引发丙类酸甲酯在淀粉上接枝共聚合反应的研究

研究了由二过碘酸合银（Ⅲ）钾（简称Ag(Ⅲ））与可溶性淀粉组成的氧化还原体系，于碱性介质中引发淀粉的接枝共聚合反应，得到高接枝效率的接枝共聚物，测定了引发剂浓度、单体浓度、pH值和反应温度对接枝参数的影响，并探讨了引发机理。     

Development of the Chinese Scientometric Indicators (CSI)

We describe the Chinese Scientometric Indicators (CSI), an indicator database derived from the Chinese Science Citation Database (CSCD). Its design is supported by the Natural Sciences Foundation of China (NSFC). In this indicator database data of a statistical nature are organized and categorized leading to ranked lists and providing bases for comparisons among Chinese institutions and regions.     

行波热声驱动器的性能分析

在简单介绍行波热声驱动器的研究历史、工作机理及其与驻波型热声驱动器的区别之后，着重对环路部分的性能进行了预测分析，并给出一些有益的结论。     

论版面设计的视觉符号语言

阐述了视觉符号语言在版面设计中的编码与各种表现形式，强调信息社会的来临，以视觉为形态的符号语言将有效加速信息的传递。     

功能化的介孔分子筛碱催化性能的研究

以苯甲醛与氰乙酸乙酯的Knoevenagel缩合为模型反应，研究了用γ－氨丙基三乙氧基硅烷或γ－乙二胺丙基三甲氧基硅烷功能化的纯硅介也分子筛HMS（Hexagonal mesoporous silica）的碱催化性能。结果表明，除个别碱基负载量高的样品外，功能化样品对反应显示很高的催化活性，反应的初期活性不仅取决于催化剂上活性中心的密度，而且与载体的孔道结构有关。大孔径载体有利于反应物、产物的扩散，故在高负载量时，大孔径样品比小孔样品有更高的活性。此外，还考察了反应温度、溶剂、反应物配比和催化剂用量等条件的影响以及催化剂的重复使用情况。结果表明，反应可在低于100℃的温和条件下进行，有明显的溶剂效应，反应物配比和催化剂用量存在一最佳值；随使用次数的增加，催化剂逐渐中毒而失活。