基于广义回归神经网络的单位运营状况分类

单位的运营状况会直接影响股东和广大人民的利益,针对运营状况可以使用广义回归神经网络进行分类。由于广义回归神经网络中径向基函数的扩展参数Spread的选取会导致分类的准确率,提出了一种果蝇优化算法优化参数Spread的分类模型。充分利用了果蝇优化算法的寻优能力,将优化后的参数代入到广义回归神经网络中对单位的财务数据进行运营状况的分类。结果表明,与广义回归神经网络做比较,优化后的网络模型对数据的分类可以达到很高的准确率,在相关领域的分类上有非常大的实用性。     

基于动态贝叶斯网络的复杂网络抗毁性分析

复杂网络抗毁性是复杂网络在节点或边遇敌攻击后能继续维持基本功能的能力,是衡量军事信息网络鲁棒性和敏捷性的重要指标。针对复杂网络及对作战体系支撑能力的多指标、复杂化和动态演绎特点,在静态分析方法基础上,提出基于动态贝叶斯网络的抗毁性分析方法。建立了复杂网络抗毁性指标体系。构建了基于动态贝叶斯网络的复杂网络抗毁性评估模型,提出确定评估模型参数的方法。仿真验证了方法的可行性和有效性。     

Leadership and national security: an interrogation of the Boko Haram violence in Nigeria

This study contends that an analysis of the nexus between leadership and security offers useful insights into explaining conflict by stating that the conceptualisation of these argots, especially through the definition of leadership as a process, helps to explain and address Nigeria’s security challenges. By arguing that leaders’ ability to establish mutuality with their followers in any situation and set collectively-generated means for attaining these set goals for societal security, the study shows how such a relationship creates a secured state. This is not the case in Nigeria, where leaders’ security decisions are influenced by external actors rather than by their followers. By showing that the Nigerian ruling elite’s security agendas intersect with dominant global notions of security while neglecting genuine security interests of ordinary Nigerians, the study contextualises the complex global and local security interests in Nigeria. The lack of an intersection at home, however, has contributed to the emergence of extremists such as the Boko Haram sect, as well as the escalation of the acts of violence they perpetrate. As national insecurities become complex and intractable, ‘elegant’ or unilinear solutions – such as a military approach – lack the capacity to address these problems.     

Too much Western bias? The need for a more culturally adaptable approach to post-conflict security sector reform

The existing guidelines for security sector reform (SSR) tend to draw on theoretical work in the field of civil–military relations, which in turn has been derived from Western, liberal democratic models of governance. Although guidelines strongly advise that local culture and context need to be considered when drawing up objectives for post-conflict SSR programmes, this is not often reflected in practice. This article considers some of the reasons for this, citing both in-country challenges and donor-related issues, and suggests that one of the biggest problems is a lack of alternative, non-orthodox models of civil–military relations to draw upon. It is further suggested that elements of suitable alternative models may be found in states which possess political structures not entirely dissimilar to the Western, liberal democratic ideal, but which can offer different perspectives. Detailed research of these structures should produce a pool of sub-models which could then be employed to create bespoke, culturally appropriate objectives for use in post-conflict SSR programmes.     

Security sector reform in Africa: Donor approaches versus local needs

Many African states have security sector reform (SSR) programs. These are often internationally funded. But how do such programs account for previously existing security institutions and the security needs of local communities? This article examines SSR all over Africa to assess local ownership and path dependency from a New Institutionalist perspective. It finds that SSR, particularly in post-conflict countries, tends to be driven by ideas and perceptions of international donors promoting generalized blueprints. Often, such programs only account in a very limited way for path-dependent aspects of security institutions or the local context. Hence, the reforms often lack local participation and are thus not accepted by the local community eventually.     

Educate or Adjudicate? Socioeconomic Heterogeneity and Welfare

I present a formal framework to explore the welfare and distributional effects of a government’s optimal choice over two types of public spending in a closed economy: domestic security (DS) and investment in social capital (SC). Production is characterized as a function of social and physical capital stocks that both vary across the regions. DS stands for total factor productivity, while SC stands for human capital and civic cooperativeness combined. SC accumulates via public spending on universal primary education, cultural, and civic events and such, and is exposed to regional spillover effects. Numerical simulations of the static solution of the government’s welfare maximization problem reveal that the optimal rate of spending on SC (m^*) is negatively related with the income share of physical capital, SC spillovers and fiscal decentralization. Simulations also show that SC homogeneity is positively associated with both the level and equitability of aggregate income. The maximum attainable levels of income, welfare and social cohesion and the most equitable incomes are all observed to realize at some intermediate range of m^* values. In case DS augments SC, however, social cohesion improves and welfare declines monotonously in m^*.     

美国陆军数据战略目标及实施

为深入研究美陆军数据战略目标及实施策略,为我军数据战略研究提供借鉴,文章对美陆军2016年发布的最新《陆军数据战略》进行分析,指出其目标是实现数据的可视化、可获取、可信任、可理解和互操作,并对美陆军数据战略的具体实施策略进行了剖析,指出美国陆军数据战略推动的是美军军事作战理论转型,从"网络为中心"转变为以"数据为中心"作战理念,其核心意图在于以数据优势实现指挥决策优势。     

静态初始条件下的歼击机中距攻防引导方法决策

在静态初始条件下,歼击机中距攻防引导方法的选择是一个定性与定量相结合的类别划分问题,因此,将粗糙集理论与概率神经网络相结合用于该问题的解决。首先,利用粗糙集理论实现专家知识约简、空战态势信息集压缩,得到最小决策信息集;其次,利用概率神经网络进行概率决策推理;最后,通过实例分析,结果表明决策推理正确,在不确定环境下仍然有效,提高了决策过程的自动化程度。     

一种基于动态循环筛选模型的指标体系建立方法

针对评估中指标体系构建问题,提出一种层次网指标体系模型,对其中底层指标集的确立问题提出一种基于动态循环筛选模型的指标集选取方法,该方法在每一轮的循环过程中,通过评价专家专业度对专家集进行了优化,通过数据信息熵评价数据有效度系数,进而得到指标的重要度。指标集的双重优化确保了专家集的专业性和指标集的合理性,实际算例分析证明了此方法的可行性和有效性。     

基于改进Rao-Blackwellized粒子滤波的WSN被动目标跟踪

Rao-Blackwellized粒子滤波虽然适合系统状态包含线性高斯分量的非线性状态估计,但是由于其计算量较大,不适用于实时性较高的被动目标跟踪情况。针对Rao-Blackwellized粒子滤波的不足,提出了改进的Rao-Blackwellized粒子滤波算法用于WSN被动目标跟踪。新的算法由一个粒子滤波和一个卡尔曼滤波组成,在执行过程中,粒子滤波和卡尔曼滤波相互交换信息,并行运行。计算机仿真结果表明,新的算法能够更好地减少计算量,提高跟踪的实时性。