final user中文什么意思

例句与用法

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1. Some < equipment > validation protocols written by the supplier can be used and the others shall be prepared probably by the final user
   翻译：一些验证方案（主要是设备）可由供应商提供，而其余文件必须有最终用户完成。
2. Mathematic mesh is composed of folded covers and could be random set by final user , and physical mesh is composed of real material boundary , joints or discontinuities , phase interfaces etc and could n ' t be artifical
   数学网格由折叠的覆盖组成，物理网格则由实际的材料边界、裂缝、块体、不同材料的交接面甚至不同的材料相的界面等组成。
3. From the experiment results we conclude that after using our strategy to study user ' s interests , final user ' s model is better and higher in integration , accuracy and speed to the desired goal than young - woo seo in seoul national university did
   最后我们做了一个的实验，结果发现:在使用木论文的学习策略学习用户兴趣后，得到的用户模型在整体性、精确性和逼近目标的速度_ l二都高于汉城国际大学的young一w 。 。 seo在2000年提出的学习用户模型的策略。
4. The chapter 4 recommends how to launch a network auto store and build the b to c electronic commercial platform facing the final users . the chapter 5 analyzes how to make use of distribution management system to transform original marking methods
   第四章介绍了企业如何开办网上汽车商店，建立面向最终用户的btoc电子商务平台；第五章分析如何利用分销计划管理系统，对企业原有的销售渠道进行信息化改造；第六章介绍了企业应如何建立网络时代的客户管理系统。
5. In our work here , a model of data mining was developed , which got its foundation from artificial neural networks . hi fact , this kind of model might be called an infant protocol for dss ( decision support system ) , which accepts final users " raw data , integrates various sources of data , cleanses them from garbages , then normalizes them into an intermediatary data file . from this temporary data file , the dss model can now make a conclusion , which is a fuzzy set . to do this , we introduce a kind of ann models called bp network , which classifies the records from the normalized data file . in the model . we put our main emphasis on bp network and its training algorithm . ann has been a branch of ai , and it has some kind of intelligence of human beings , as to memorization and reasoning
   我们实现的模型是一个有机的数据处理和决策综合系统，首先，模型接受用户在通常的mis系统中积累产生的各种数据，对这些原始的， “粗糙”的数据，我们第一步的工作是对他们进行预处理，这个过程其实相当的复杂棘手，最典型的，它首先要集成来自不同数据源的数据，其次，它要能够对这种数据进行清洗，除去我们不感兴趣的脏数据，最后，它还要对数据进行重新的解释，处理数据的规范化，一致化等问题。在进行了必要的数据预处理之后，我们就可以对这种合适的数据进行决策分类了。