有关变量的英文
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"有关变量"怎么读用"有关变量"造句
英文翻译手机版
- related variable
- "有关"英文翻译 have sth. to do with; have a ...
- "变量"英文翻译 variable; variable quantity; ...
- "有关变数" 英文翻译 : relevant variable
- "不相关变量" 英文翻译 : uncorrelated variables
- "非相关变量" 英文翻译 : noncorrelated variables
- "开关变量" 英文翻译 : switch variable
- "无关变量" 英文翻译 : irrelevant variable
- "相关变量" 英文翻译 : associated variates; correlated variables; correlation variable; covariance
- "非线性相关变量" 英文翻译 : nonlinearly related variables
- "同期不相关变量" 英文翻译 : contemporanrously uncorrelated variables
- "有关" 英文翻译 : have sth. to do with; have a bearing on; relate to; concern; be in [with] relation to; involve; have relations with; in the way of; in [with] regard to; be connected with; in connection with; be [get; keep] in with 有关地理方面的书籍 books about geography; 有关人员 persons concerned; 有关全局 have a bearing on the situation as a whole; 这些问题都跟哲学有关。 all these questions relate to philosophy. 这与你有关。 this has sth. to do with you.; 有关部门 the department concerned; 有关当局 the authorities concerned; the proper authorities; 有关当事人 the party concerned; 有关方面 the parties concerned; 有关事实 relevant facts; 有关文件 the relevant documents; 有关证件 pertinent certificate; 有关证据 relevant testimony; 有关主管机关 competent authority; 有关组织 related organization
- "抽关变压器" 英文翻译 : tap transformer
- "开关变压器" 英文翻译 : trans-switching
- "相关变差" 英文翻译 : related variation
- "相关变化" 英文翻译 : correlative change
- "相关变率" 英文翻译 : related rates
- "相关变数" 英文翻译 : correlated variables; correlated variates
- "相关变异" 英文翻译 : correlated variation; covariation
- "相关变异性" 英文翻译 : correlated variability
- "变量" 英文翻译 : [数学] variable; variable quantity; alternating quantity◇变量范围 range of variables; variable range; 变量函数 variable function; 变量系数 variation coefficient
- "年龄相关变化" 英文翻译 : agerelated alteration
- "控制无关变异量" 英文翻译 : control extraneous variance
- "上下文相关变换" 英文翻译 : context-dependent transformation
- "升压型开关变换器" 英文翻译 : boost witching converter
- "更有关" 英文翻译 : have more to do with
例句与用法
- For more information about variables , see
有关变量的详细信息,请参阅 - Contains information about a variable
包含有关变量的信息。 - Returns a string value containing data type information about a variable
返回一个字符串值,它包含有关变量的数据类型信息。 - The research framework of the paper as follows : beginning with a brief introduction , the research background was given in the first chapter , then comes the theoretical model and empirical specification
第2章对本文所使用的数据、理论和实证模型以及研究对象进行介绍,并对模型所使用的有关变量进行简要的描述性分析。 - Main content in simulation is the spatio - temporal evolution of the set of descriptive variables characterizing tectonic mineralization state under coupling of various processes as following : ( 1 ) variables related to forming and property of ore - forming fluid , such as dissolution rate of minerals ( include metal minerals ) in rock , concentration and saturation of aqueous species in fluid , temperature , pressure , and ionic strength etc . ; ( 2 ) variables related to structural deformation and fluid flow , such as stress , deformation rate , fracture network , porosity , fracture permeability ; ( 3 ) variables related to precipitation and mineralization , such as nucleation rate of gangue and metal minerals , accumulation precipitation of various minerals , etc . ; ( 4 ) spatio - temporal coupling relation of various variables above , such as the coupling relationship between spatio - temporal evolution of fracture permeability and flow and focus of fluid and ore - forming
模拟的主要内容是在各种过程耦合作用下,以下描述构造成矿体系的主要变量的时空演化:与成矿流体的形成和性质有关的变量,如地层中矿物(包括成矿物质)的溶解速率、流体中各组分的浓度与饱和度、流体温度、压力、离子强度等;与构造变形和流体运移有关的各变量,如应力与变形速率、岩石孔隙度、构造(断裂)渗透率等;与沉淀成矿有关的变量,如矿物(金属矿物和脉石矿物)的成核速率、各矿物的沉淀量等;上述各有关变量间的时空耦合关系,如断裂渗透率时空演化与流体流动、汇聚和成矿的耦合关系等。 - With the limitation of our learning level and objective case , the variables x1 , x2 , . . . , xm being taken into account are only a part of all relevant variables . the other variables being ticked out may well be more important . so it is not plenty to think about the factor ' s influence on forecasting , the sample ' s information also play its role on forecasting
一般情况下,对因变量y有影响的因子往往为数极多,而由于我们的认识水平和客观条件的限制,在问题中考虑进来的自变量x1 , x2 , . . . , xm只是全部有关变量的一部分,其它未被考虑进来的变量完全有可能是更重要的,可见,仅仅着眼于因子对预测的影响显然不够,样品信息也对预测起着重要作用,而且每个样品对预测所起的作用还互不相同。
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