rcas
英
美
网络 远程串级; 区域信用管理系统; 羧基改性聚硅氧烷; 串级; 应科中心
双语例句
- Methods By transmission electron microscope, the structure changes about tonoplast in RP and RCAS were observed.
方法通过透射电子显微镜对葛根和刺五加药材细胞内液泡膜的变化进行观察。 - Object To study microcosmic mechanism about microwave-assisted extraction ( MAE) to Radix Puerariae ( RP) and Radix Caulis Acanthopanacis Senticosi ( RCAS).
目的研究微波辅助萃取葛根和刺五加的微观机制。 - Methods: After injected with the A. B.S., the RCAs of 9 fresh heart specimens were photographed on different view.
方法：9例新鲜心脏标本的右冠状动脉注入造影铸型剂后，对其进行多方位多角度投照，并与相应方位铸型标本对比分析。 - That the rapid development of RCAs, satisfied the production, life needs in the economic demand, and effectively solved the difficult problems of borrowing member.
合会的迅速发展，满足了会员在生产、生活方面的经济需求，有效解决了会员的借贷难问题。 - After thousands years of development and evolution, RCAs has become an integral part of the traditional financial system.
经过数千年的发展和演变，合会已经成为传统金融体系的有机组成部分。 - RCAs was produced based on kinship and geographical form of a financial mutual cooperation forms.
合会是基于血缘及地缘产生的一种金融互助合作形式。 - Against this background, as the formal financial supplement, RCAs still play an important role in the modern economy system.
此种背景下，作为正规金融的补充，合会在现代经济中仍有其用武之地。 - Experimental results show that the RCAS is better than the other three algorithms on various assessment parameters.
实验结果证明RCAS在各项评估参数上的表现都优于其他算法。 - Meanwhile, RCAS employs semi-supervised learning and relevance feedback to deal with the unlabeled samples in the related class and unrelated class.
同时，RCAS算法结合了机器学习中半监督学习和相关反馈算法的优点，对有关类和无关类中未标记样本采用不同的方式加以利用。 - In the following, the paper introduces the major organizational forms of informal finance, private lending, community funds, RCAs, silver back, and private banks, and the pawn industry.
之后文章介绍了我国农村非正规金融的主要组织形式：民间借贷、社会集资、合会、银背和私人钱庄，以及典当行业。 - RCAS randomly selects subset of unlabeled data to expand the negative sample set and make use of log data and feedback result to expand the positive sample set, which solves the problem of small sample problem and asymmetry problem.
并从未标记数据中随机抽取子集扩充负例样本集合，利用日志数据和相关反馈结果扩充正例样本集合。从而解决了小样本和不对称问题。 - First, RCAS learns the semantic similarity from the log data, and then take semantic similarity as prior knowledge, learns visual similarity from the labeled and unlabeled samples.
RCAS算法首先从日志数据中学习语义相似性，然后以此为先验知识从标记样本和未标记样本中学习视觉相似性。