基于BP神经网络的坦克炮火力威力评价模型

从分析不同型号坦克炮的主要性能指标入手,应用BP神经网络理论和方法探索其火力威力评价的问题.建立了坦克炮火力威力评价的BP神经网络模型,对原始评价指标进行了归一化处理,并构造了3组训练样本,利用MATLAB6.5中神经网络工具箱的图形用户界面GUI对评价指标和样本进行训练、仿真,并对结果进行比较.结果表明,BP神经网络模型能很好地解决评价指标与结果之间的非线性关系,评价坦克炮火力威力简便可靠,客观性强;研究结果可为坦克炮的进一步开发和研制提供理论参考.     

鱼雷武器系统效能评价数学模型

如何建立鱼雷武器系统的效能(Effectiveness)评价模型,是当前研究的新课题。本文给出这个数学模型,并讨论了其工程用法。     

火灾爆炸危险指数评价法在三乙胺罐区中的应用

介绍了火灾爆炸危险指数评价法的基本原理,根据三乙胺罐区中实际情况确定了单元的危险系数和安全补偿系数,并通过计算得到火灾爆炸危险指数F&EI和安全措施补偿系数,最后得出单元危险分析的安全评价结果.     

Fighting Separately: Jointness and Civil-Military Relations in India

How do countries transition from single service to joint operations? This article engages with the discussion on military innovation to argue that civil–military relations are the most important driver for jointness. In doing so it examines jointness in the Indian military. Relying on archival research and primary interviews this article sheds new light on the operations of the Indian Peacekeeping Forces (IPKF) in Sri Lanka from 1987–1990, the 1999 Kargil War and the Post-Kargil defence reforms. The main argument is that the Indian military’s transition to jointness has been ‘incomplete’ primarily because of its prevailing model of civil-military relations. This model prevents civilians from interfering in the operational issues of the military, including on matters pertaining to jointness. It therefore recommends more forceful civilian intervention to overcome the prevailing single service approach.     

空间飞网系统牵拉模式影响研究

针对空间飞网系统任务设计需求,研究飞网牵拉模式对系统展开性能的影响。建立空间飞网系统拉出展开过程动力学模型,并通过地面试验对比验证了模型的有效性。面向任务需求建立空间飞网系统评价指标,针对四、六点牵拉模式,采用有限绳段方法对飞网系统进行建模仿真。模型中保持绳网质量和初始发射能量一致,对评价指标的分析结果表明,在六点牵拉模式下,飞网系统飞行性能指标和力学性能指标有明显提高,但能量利用率和系统可靠性小幅下降。     

面向任务的作战数据保障能力评估方法与工具

作战数据保障为部队的指挥决策和作战行动提供数据服务,是确保精确指挥和精确打击的重要措施。提出面向任务的作战数据保障能力评估过程,建立作战数据保障能力评估指标体系,研究了作战数据保障能力的指标量化分析方法,开发相应的评估工具。该工具支持指标体系编辑、指标量化和数据采集等功能,为作战数据保障能力评估提供了有效的支持。     

弹炮结合武器系统综合效能评估指标体系

效能评估指标体系是弹炮结合系统综合效能评估的基础环节.首先,通过对弹炮结合系统参数结构模型的分析,探讨综合效能评估指标体系的设计原则,并提出弹炮结合系统综合效能评估指标的基本结构和体系;接着,在此基础上建立弹炮结合系统综合效能评估的模型指标框架.分析表明,该指标体系框架为弹炮结合系统的综合效能评估奠定了基础.     

基于ANN的高炮火力单元射击有利度评估

采用ANN(人工神经网络)方法对高炮火力单元射击有利度进行评估是一种新的尝试。在对各影响因素进行分析与量化处理的基础上,建立了基于ANN的高炮火力单元射击有利度评估网络模型,并提供了网络的解算方法。通过某型高炮对不同目标射击的已知有利度评估值对网络进行的训练,确定了网络的各权值,并使学习误差达到了预先规定的标准,实现了对该型高炮对空射击有利度的评估。     

弹道修正弹系统效能灵敏度分析

灵敏度分析是武器系统效能分析中的一项重要内容,针对正交试验的不足,在分析了弹道修正弹系统效能的影响因素的基础上,建立了基于均匀设计的弹道修正弹系统效能的回归模型。通过对模型求导得到了命中概率对各参数的灵敏度表达式,并进行优化分析,得到了系统效能参数的最优组合以及最优区间,研究结果可作为弹道修正弹参数优化设计的依据。     

Economic Development and Military Effectiveness

Abstract

What makes some states more militarily powerful than others? A growing body of research suggests that certain ‘non-material’ factors significantly affect a country's ability to translate resources into fighting power. In particular, recent studies claim that democracy, Western culture, high levels of human capital, and amicable civil-military relations enhance military effectiveness. If these studies are correct, then military power is not solely or even primarily determined by material resources, and a large chunk of international relations scholarship has been based on a flawed metric. The major finding of this article, however, suggests that this is not the case. In hundreds of battles between 1898 and 1987, the more economically developed side consistently outfought the poorer side on a soldier-for-soldier basis. This is not surprising. What is surprising is that many of the non-material factors posited to affect military capability seem to be irrelevant: when economic development is taken into account, culture and human capital become insignificant and democracy actually seems to degrade warfighting capability. In short, the conventional military dominance of Western democracies stems from superior economic development, not societal pathologies or political institutions. Therefore, a conception of military power that takes into account both the quantity of a state's resources and its level of economic development provides a sound basis for defense planning and international relations scholarship.