Constructed of polystyrene with a smooth surface that provides accurate pour-outs with minimal sample loss and facilitates weighing of static-affected samples.
称量盘由表面光滑地聚苯乙烯材料制成。表面抗静电的特性最大程度地减少了样品的损失。
The fuzzy judgment support vector machine algorithm based on loss function is proposed, and compared with fuzzy sample support vector machine algorithm.
提出了基于损失函数的模糊判决支持向量机算法,并与模糊样本支持向量机算法进行了比较。
The electromagnetic loss mechanism was analyzed and influences of EPS and CB filling ratios, EPS diameter and sample thickness were also analyzed in the paper.
通过分析EPS水泥的内部结构来研究其微波损耗机理,分析了EPS和炭黑填充率、EPS颗粒直径以及试样厚度对材料吸波性能的影响。
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