齐次随机场在分析土性指标中的应用

根据一维实的齐次正态随机场和随机积分的概率方法。给出了对分析土性指标有实用价值的随机场积分的方差的计算公式,分别对应4种不同类型的相关函数。其中第1、第2式与Vanmarcke给出的一致,第3和第4式是作者新给出的。对方差减缩因子和不相关间隔的基本距离的性质和应用作了讨论。最后,作为应用给出了分析计算土的抗剪强度指标φ,c的实际工程例子。     

咪唑并嘧啶质子间距的核磁共振波谱法测定

应用ＮＭＲ ＳＮＩＤＥ法测定了咪唑并嘧啶分子中质子的选择性和非选择性弛豫时间（Ｔ１），进而得到了各个质子间的交叉弛豫速度，并用于计算质子间距，实验结果与理论值完全一致。     

应用最优化选择原则求最短路径及长度

用最优化选择原则,对有向赋权图中的最短路径问题进行了讨论,给出在任意简单有限有向赋权图中求从任一点到指定点间的最短路径长度的数学模型,提出构造一条含弧数最少的最短路径的方法,并推广到简单有限无向赋权图中。     

陕北长6油层组短期基准面旋回与储层非均质性的关系

鄂尔多斯盆地上三叠统延长组长６油层组为一套砂、泥薄互层的组合类型,储层非均质性很强,尤以层间的非均质性最为严重,明显受基准面升、降,和可容纳空间及沉积物供给量的变化影响。通过高分辨率层序地层的短期基准面升、降旋回过程与储集物性关系的分析,建立了６种不同沉积微相的非均质性模式,探讨了向上变深、向上变浅的非对称型和向上变深后复变浅的对称型短期基准面旋回层序对储层非均质性特征的控制作用     

鞍山市青少年活动中心裙楼结构设计及体会

通过一个工程实例,介绍高层建筑框架结构设计中遇到的工程问题的处理方法     

汉字识别误差校正

本文提出了一种对句法模式进行误差校正的方法,通过分析变形笔划y与文法G能接受的笔划x,求出y与G的最小误差校正距离|J|,比较y与其它文法G′的最小误差校正距离|J′|,确定y应属于G或G′。为了改善误差校正剖析程序的执行速度,规定了一个能减少回溯次数的误差校正算子的优先级。同时,用启发式方法进行搜索以减少搜索的深度。最后给出实验结果。     

Integrated semantic similarity model based on ontology

To solve the problem of the inadequacy of semantic processing in the intelligent question answering system. an integrated semantic similarity model which calculates the semantic similarity using the geometric distance and informarion content is presented in this paper. With the help of interrelationship between concepts, the information content ofconcepts and the strength of the edges in the ontology network. we can calculate the semantic similarity between two concepts and provide information for the further calculation of the semantic similarity between user‘s question and answers in knowlegdge base. The results of the experiments on the prototype have shown that the semantic problem in natural language processing can also be solved with the help of the knowledge and the abundant semantic information in ontology. More than 90% accuracy with less than 50 ms average searching time in the intelligent question answering prototype system based on ontology has been reached. The result is vety satisfied.     

The use of monthly indicators to forecast quarterly GDP in the short run: an application to the G7 countries

The delayed release of the National Account data for GDP is an impediment to the early understanding of the economic situation. In the short run, this information gap may be at least partially eliminated by bridge models (BM) which exploit the information content of timely updated monthly indicators. In this paper we examine the forecasting ability of BM for GDP growth in the G7 countries and compare their performance to that of univariate and multivariate statistical benchmark models. We run four alternative one‐quarter‐ahead forecasting experiments to assess BM performance in situations as close as possible to the actual forecasting activity. BM are estimated for GDP both for single countries (USA, Japan, Germany, France, UK, Italy and Canada), and area‐wide (G7, European Union, and Euro area). BM forecasting ability is always superior to that of benchmark models, provided that at least some monthly indicator data are available over the forecasting horizon. Copyright © 2007 John Wiley & Sons, Ltd.     

Vague集距离的比较与改进

回顾了vague集已有的距离定义,通过例子说明现有的距离定义在有些情况不适用,并且分析了现有vague集距离定义的不足,充分利用vague集的本质含义,给出了vague集之间距离的新定义,分析证明了所给vague集的距离定义与现有距离定义之间的关系,最后通过例子说明了新方法的合理性与有效性.