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The battlefield damage level assessment is different from other assessment problems because of its characteristics such as small sample, multiple influence factors and high dimension. Thereby, the assessment methods like Bayesian Net (BN), Neutral Net (NN), and multiple indexes comprehensive method can't be used in this domain. So, a new method must be introduced. Then, Support Vector Mechanism (SVM)...
Due to the fact that conventional evolution-based attribute reduction algorithms are poor efficiency in accomplishing large-scale attribute reduction, a novel and efficient quantum cooperative co-evolutionary algorithm (named QCCAR) for minimum attribute reduction optimization in large-scale datasets is proposed in this paper. First, the self-adaptive quantum rotation angle and quantum entanglement...
In consideration of feature and requirement of equipment maintenance support servicemen training, the matter element comprehensive evaluation model was established based on extension theory, in order to overcome the subjectivity and relevance between indicators in traditional evaluation method, rough set theory was introduced to the evaluation of equipment maintenance support training effect. the...
Of late there has been considerable interest in the efficient and effective storage of large-scale network graphs, such as those within the domains of social networks, web and virtual communities. The representation of these data graphs is a complex and challenging task and arises as a result of the inherent structural and dynamic properties of a community network, whereby naturally occurring churn...
Rigid-flexible printed circuit boards (RFPCB) has the advantages of providing not only the flexibility and bendability required by many electronic products, but also the reliability required by the key electronic components. In this study, based on one kind of RFPCB which would be used for a wearable device prototype, the structure optimization was performed by simulations. Through the structural...
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