The first-principle calculation, which is based on the Density Functional Theory, is playing important role in computational materials.
而基于密度泛函理论的第一性原理计算方法,则是计算材料科学的重要基础和核心技术。
These major elements can be divided into 3 parts as activity, sub-activity and non-activity based on the density of migration in and out.
不同的元素在这一过程中具有不同的地球化学行为,按照其迁入迁出的强度,这些元素可以划分为活动组分、次活动组分和惰性组分3类。
In order to improve the training efficiency, an advanced Fuzzy Support Vector Machine (FSVM) algorithm based on the density clustering (DBSCAN) is proposed.
为了提高模糊支持向量机在数据集上的训练效率,提出一种改进的基于密度聚类(DBSCAN)的模糊支持向量机算法。
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