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为准确计算滑行艇在波浪中的水动力性能,基于粘性理论,采用随体网格技术、耦合求解运动方程,完成了滑行艇在迎浪规则波中运动响应的数值预报.对滑行艇运动响应结果采用时域和频域方法分析,给出了入射波的周期与滑行艇固有频率对滑行艇运动响应的影响分析结果,对数值计算值与模型试验值进行比较.结果表明,数值计算方法可以准确且高效预报滑行艇在波浪中高速航行时的运动姿态及水动力特性,为滑行艇设计提供指导和参考依据. 相似文献
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With the purpose of improving the accuracy of text categorization and reducing the dimension of the feature space,this paper proposes a two-stage feature selection method based on a novel category correlation degree(CCD)method and latent semantic indexing(LSI).In the first stage,a novel CCD method is proposed to select the most effective features for text classification,which is more effective than the traditional feature selection method.In the second stage,document representation requires a high dimensionality of the feature space and does not take into account the semantic relation between features,which leads to a poor categorization accuracy.So LSI method is proposed to solve these problems by using statistically derived conceptual indices to replace the individual terms which can discover the important correlative relationship between features and reduce the feature space dimension.Firstly,each feature in our algorithm is ranked depending on their importance of classification using CCD method.Secondly,we construct a new semantic space based on LSI method among features.The experimental results have proved that our method can reduce effectively the dimension of text vector and improve the performance of text categorization. 相似文献
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