对空警戒雷达功能仿真研究

对雷达探测能力的仿真往往是武器系统作战效能仿真中重要的一部分，功能仿真由于其方法简单、使用方便、速度快，比较适合较大对抗系统中对雷达探测能力的仿真。文章中以舰载对空警戒雷达AN/SPS-49对反舰导弹的探测仿真为背景，将雷达的功能仿真分解为不同的模块并将这些模块进行有机的结合，介绍了雷达探测功能仿真的主要数学模型，并通过计算实例表明用该方法进行的雷达功能探测仿真具有较好的结果和较大的灵活性。     

Single‐season heteroscedasticity in time series

We consider seasonal time series in which one season has variance that is different from all the others. This behaviour is evident in indices of production where variability is highest for the month with the lowest level of production. We show that when one season has different variability from others there are constraints on the seasonal models that can be used; neither dummy and trigonometric models are effective in modelling this type of behaviour. We define a general model that provides an appropriate representation of single‐season heteroscedasticity and suggest a likelihood ratio test for the presence of periodic variance in one season. Copyright © 2007 John Wiley & Sons, Ltd.     

障碍与超越——论中西方思维模式的不同与跨文化研究

中西方思维模式的不同在跨文化研究中形成障碍.超越障碍,努力寻求文化差异和文化身份的认同,是跨文化研究的目标之一.在跨文化研究中应注重思维模式的差异,倡导一种平等的、互为主体的文化对话,体现和而不同的价值原则.     

Prediction of the Shearing Property of Worsted Fabrics Using BP Neural Network

In this paper, three layers of BP neural network were used to model the shearing properties of worsted fabrics. We train the neural network models with 27 kinds of fabrics, and then use 6 kinds of fabrics to validate the accuracy of the model. The result shows that the predicted accuracy of the models is about 85%.     

变系数EV模型系数参数的一步核估计

利用核函数法和广义最小二乘法给出了一般变系数EV模型系数参数的估计,得到了估计的强相合性.模拟计算表明估计的效果优良.     

非线性系统基于T-S模型的$H_\infty$控制

将非线性系统用 T-S模糊动态模型描述 ,并将全局模糊系统模型表示成不确定系统形式 .采用鲁棒 $H_\infty$ 控制策略 ,设计出使全局模糊系统模型渐近稳定的控制器 ,并以一级倒立摆的模糊控制器设计实例 ,证明了方案的简洁有效.     

奇异线性模型的数据诊断

论述了奇异线性模型的平差，并证明了ＶＴＱ－Ｖ＝Ｖ１ＴＱ１１－１Ｖ１＝ｍｉｎ．在此基础上，介绍了高杠杆点、异常点和强影响点的诊断．     

Regional Man-land System:Its Dynamics Characters,Structure and Evolutionary Models

ＲｅｇｉｏｎａｌＭａｎｌａｎｄＳｙｓｔｅｍ：ＩｔｓＤｙｎａｍｉｃｓＣｈａｒａｃｔｅｒｓ，ＳｔｒｕｃｔｕｒｅａｎｄＥｖｏｌｕｔｉｏｎａｒｙＭｏｄｅｌｓＺＨＡＯＢｉｎｇｄｏｎｇＱＩＮＹａｏｃｈｅｎＺＨＡＯＱｉｎｇｌｉａｎｇＤｅｐａｒｔｍｅｎｔｏｆＧｅｏ...     

A Bayesian threshold nonlinearity test for financial time series

We propose in this paper a threshold nonlinearity test for financial time series. Our approach adopts reversible‐jump Markov chain Monte Carlo methods to calculate the posterior probabilities of two competitive models, namely GARCH and threshold GARCH models. Posterior evidence favouring the threshold GARCH model indicates threshold nonlinearity or volatility asymmetry. Simulation experiments demonstrate that our method works very well in distinguishing GARCH and threshold GARCH models. Sensitivity analysis shows that our method is robust to misspecification in error distribution. In the application to 10 market indexes, clear evidence of threshold nonlinearity is discovered and thus supporting volatility asymmetry. Copyright © 2005 John Wiley & Sons, Ltd.     

基落锤液压动标装置的铜球准动态校准的经验模型

该文介绍了利用落锤液压动标装置实现准动态校准的方法，用9804批铜球准动态校准的数据，通过量纲分析和回归分析，建立了铜球准动态校准的经验模型。该方法避开了缺乏高压下液压油的准确物性数据的困难，所得公式物理意义明确，可用来预报压力脉冲的峰值和脉宽之大小。文中用不同批次铜球准动态校准的计算结果与实测值进行了比较，证明了该模型之可靠性及实用性。