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大数据环境下入侵风险评估优化模型仿真分析 被引量:13
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作者 郑宏 蔡宇翔 《计算机仿真》 CSCD 北大核心 2016年第9期292-295,共4页
针对大数据环境下的数据信息进行入侵风险评估问题。由于大数据信息环境下的数据具有动态波动的特性,使得存在大量多元数据。传统的评估方法,主要通过提取数据特征进行分类,再分别进行评估,忽略了多元数据的特征对分类产生的影响,导致... 针对大数据环境下的数据信息进行入侵风险评估问题。由于大数据信息环境下的数据具有动态波动的特性,使得存在大量多元数据。传统的评估方法,主要通过提取数据特征进行分类,再分别进行评估,忽略了多元数据的特征对分类产生的影响,导致评估不准确的,效率差的问题。提出改进的逆向云生成算法的大数据信息环境下的入侵风险评估建模方法。对大数据信息环境下系统的入侵危险进行感知,提取大数据信息环境下系统的正常状态云,利用逆向云生成算法获取该云的数字特征,计算被监视时刻的大数据信息环境下系统变量采样值,将计算出的采样值与正常状态云的数字特征相匹配,以匹配后的结果为依据融合抗体浓度模型进行大数据信息环境下网络入侵风险的实时评估。仿真结果表明,采用改进方法对入侵风险评估进行建模精确度高。 展开更多
关键词 大数据信息环境 入侵风险评估 云模型
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Brain differences in ecologically differentiatec sticklebacks 被引量:1
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作者 Jason KEAGY Victoria A. BRAITHWAITE Janette W. BOUGHMAN 《Current Zoology》 SCIE CAS CSCD 2018年第2期243-250,共8页
Populations that have recently diverged offer a powerful model for studying evolution. Ecological differences are expected to generate divergent selection on multiple traits, including neurobiological ones. Animals mu... Populations that have recently diverged offer a powerful model for studying evolution. Ecological differences are expected to generate divergent selection on multiple traits, including neurobiological ones. Animals must detect, process, and act on information from their surroundings and the form of this information can be highly dependent on the environment. We might expect different environments to generate divergent selection not only on the sensory organs, but also on the brain regions responsible for processing sensory information. Here, we test this hypothesis using recently evolved reproductively isolated species pairs of threespine stickleback fish Gasterosteus aculeatus that have well-described differences in many morphological and behavioral traits corre- lating with ecological differences. We use a state-of-the-art method, magnetic resonance imaging, to get accurate volumetric data for 2 sensory processing regions, the olfactory bulbs and optic tecta. We found a tight correlation between ecology and the size of these brain regions relative to total brain size in 2 lakes with intact species pairs. Limnetic fish, which rely heavily on vision, had relatively larger optic tecta and smaller olfactory bulbs compared with benthic fish, which utilize olfaction to a greater extent. Benthic fish also had larger total brain volumes relative to their body size compared with limnetic fish. These differences were erased in a collapsed species pair in Enos Lake where anthropogenic disturbance has led to intense hybridization. Together these data indicate that evolution of sensory processing regions can occur rapidly and independently. 展开更多
关键词 brain evolution divergent selection magnetic resonance imaging olfactory bulb optic tectum threespinestickleback.
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