可信软件研究

可信软件是近年来软件工程领域研究的热点,装备软件可信性的研究有助于提升我国国防武器装备的作战效能。首先分析了进行装备软件可信相关研究的必要性;然后阐述可信软件技术的研究现状,主要包括软件可信度量和评估、可信软件的构造与验证、可信软件的演化与控制等三个方面;最后分析了研究可信装备软件面临的挑战。     

舰船综合仿真标准体系探究

针对目前国内外仿真标准缺乏和零乱的现状对舰船综合仿真标准体系进行深入分析和研究,首先分析了国内外现状、我国舰船仿真领域的不足和仿真标准发展需求,接着对舰船综合仿真标准体系的技术思路、研究方法等做了初步性的探索,建立了舰船综合仿真技术参考模型,并据此初步建立了舰船综合仿真系统标准体系框架,用以指导制定具体的标准。     

基于系统动力学的导弹体系作战效能仿真研究

简要介绍了系统动力学的概念;分析了导弹作战体系的构成以及各子系统对体系的贡献效能;针对导弹体系对抗作战效能仿真,运用系统动力学方法,建立了导弹体系对抗的系统动力学模型;并对在不同对策条件下的仿真结果进行了分析,为导弹体系结构优化、体系能力的提高提供了依据。     

加拿大山猫数据的几种时序模型分析

本文利用四种时间序列模型,即自回归模型、组合模型、疏系数自回归模型、门限自回归模型,分别对时间序列分析中一组有名数据,即加拿大山猫数据,进行模型拟合,并对得到的四个模型及预报结果进行了分析和比较。     

果蝇算法优化的相关向量机在电子装备中的应用

针对电子装备渐变故障预测问题,提出一种基于果蝇算法优化相关向量机的故障预测方法。该方法将原始时间序列数据进行相空间重构处理,并基于折交叉验证和果蝇算法优化相关向量机模型的核函数参数,从而建立故障预测模型,并以某型雷达发射机速调管监测数据对模型性能进行了验证。实验结果表明,相比已有方法,该方法在全局优化、收敛速度、预测精度以及预测可靠性方面都具有一定优势。     

空地作战地空导弹射击的一种仿真模型研究

空地作战仿真研究中,对地空导弹射击的仿真是非常重要的一环。给出了一种地空导弹对空中目标射击的建模方法,该方法对建立战役、战术级突防或防空仿真试验系统具有较强的实用性和适用性。     

基于改进GM(1,1)模型的导弹贮存可靠性预测方法

针对导弹系统技术复杂、贮存样本量受限、测试数据波动性较大等特点,结合装备的具体情况提出了基于改进GM(1,1)模型的导弹贮存可靠性预测方法。该方法首先利用"对数-幂函数变换"对导弹的历史可靠性数据进行处理,提高数据光滑度,然后依据GM(1,1)模型计算得到可靠性预测值和残差,再利用残差建立残差修正模型,得到残差修正值,减少残差对结果的影响,最后利用残差修正值修正可靠性预测值并还原,求得可靠性最终预测值。实例表明,该改进模型对导弹系统可靠性变化的描述比传统模型更加准确有效,预测结果精度更高,为导弹贮存可靠性预测分析提供了一种有效的改进方法,其算法设计推广性强,可作为其他装备寿命预估的重要工具。     

Military expenditure and economic growth: peru 1970–1996

The present study examines the effects of military expenditure on growth in Peru in the period from 1970 to 1996. By using a Deger‐type Simultaneous Equations Model it is possible to break up the net effect into supply‐ and demand‐side influences. The former consist of positive externalities of defence activities on the other sectors of the economy, while the latter can be described as crowding‐out of civilian investment. Estimations find the supply‐side effects to be insignificantly different from zero, while the crowding‐out effect of defence spending is significant and substantial. It is thereby established that defence expenditure has a negative overall effect on economic growth in Peru. Although several caveats – including specification problems of the Deger model, the quality of the data used, a relatively small sample and the presence of autocorrelation in the estimations – must be considered, these results turn out to be quite robust with respect to estimation methods (3SLS, 2SLS, OLS) and slight modifications to the model. They are also consistent with previous empirical findings from other countries and cross sectional studies.     

The Demand for Turkish Defence Expenditure

Although a number of studies concerning Turkish defence-growth relation have been published in recent years, little attention is given the demand for Turkish defence expenditure. This is an important issue for understanding which variables contribute to the determination of the demand for military expenditure. However, it is difficult to develop a general theory or a standard empirical approach for the determination of the demand military expenditure. This study models and estimates the demand for Turkish defence expenditure for the period 1951-1998 using autoregressive distributed lag approach to cointegration (ARDL) following the methodology outlined in Pesaran and Shin (1999). This procedure can be applied regardless of the stationary properties of the variables in the sample and allows for inferences on long-run estimates, which is not possible under alternative cointegration procedures. The findings suggest that Turkish defence spending is determined by NATO's defence spending, Greece's defence spending and some security considerations.     

Defence R&D expenditure: The crowding-out hypothesis

The impact of defence expenditure on the economy has been widely studied through different types of models. However, the results from these studies have not reached definitive conclusions, and have left a gap in the analysis of the impact of defence R&D expenditure at the economy level. Defence R&D has specific characteristics, which lead to market failures: public good, high risk and uncertainty, national security. Also, defence R&D creates two types of externalities: negative (crowding-out), and positive (spin-off). Crowding-out is the major economic debate about defence R&D. This paper analyses the crowding-out hypothesis by applying three types of models for the UK case: supply, demand, and demand-supply models. From these three models the most reliable is chosen and applied to the individual cases of France, Germany, Japan and USA. The paper also reports the results for the pooled data of these five countries, and for four error component models. The results from estimating such models shed light on the defence R&D crowding-out hypothesis.