LS-SVM and Monte Carlo methods based reliability analysis for settlement of soft clayey foundation

A method which adopts the combination of least squares support vector machine（LS-SVM） and Monte Carlo（MC） simulation is used to calculate the foundation settlement reliability.When using LS-SVM,choosing the training dataset and the values for LS-SVM parameters is the key.In a representative sense,the orthogonal experimental design with four factors and five levels is used to choose the inputs of the training dataset,and the outputs are calculated by using fast Lagrangian analysis continua（FLAC）.The decimal ant colony algorithm（DACA） is also used to determine the parameters.Calculation results show that the values of the two parameters,and δ2 have great effect on the performance of LS-SVM.After the training of LS-SVM,the inputs are sampled according to the probabilistic distribution,and the outputs are predicted with the trained LS-SVM,thus the reliability analysis can be performed by the MC method.A program compiled by Matlab is employed to calculate its reliability.Results show that the method of combining LS-SVM and MC simulation is applicable to the reliability analysis of soft foundation settlement.

数据仓库大型表分区策略研究

企业级数据仓库一般都由超大型数据库（VLDB）所组成，数据量以数百GB计算，甚至以TB计算。当数据表增长到一定数据量之后，交易性能会发生非常明显的下降。通过对数据表分区可以将数据分为更小、更容易管理的部分，从而改善大型表以及具有各种访问模式的表的可伸缩性和可管理性。本文通过对表分区特点的分析，具体研究了关系型数据仓库分区的影响因素，并提出了表分区的相关策略。

慢型克山病死亡病例的有关资料分析

目的 调查研究慢型克山病死亡病例的有关资料,为克山病防治研究提供有价值的信息。方法 设计慢型克山病死亡病例有关资料的统一调查表,由专业人员查阅有关病例资料填写。结果 慢型克山病的死亡女性明显多于男性。发病时的年龄多集中在5～11岁的年龄。发病在1年内的高达30％以上,发病在3年内死亡的高达50％以上。结论 慢型克山病致短年限内死亡的主要病理改变是心室劳损合并各种早搏和传导阻滞。