1)position score fanction base on increment of diversity多样性增量位置得分函数
英文短句/例句
1.PREDICTION OF SPLICE SITES IN HUMAN 5'UTRs BY USE OF POSITION SCORE FUNTION BASED ON INCREMENT OF DIVERSITY利用多样性增量位置得分函数预测人类5'非翻译区剪接位点
2.Analysis of Multi-component LFM Signals by the Integrated Quadratic Phase Function基于积分二次相位函数的多分量LFM信号分析
3.position function位置函数，坐标函数
4.a function in which an independent variable appears as an exponent.自变量出现在指数位置的函数。
5.Bootstrap Tests for the Equality of Location Parameter in Two and More Multi-dimension Samples;两个及多个多维样本位置参数相等性的bootstrap检验
6.Using MARS to determine scaling parameter values for composite dispatching rule ATCS利用多变量自适应回归样条函数确定ATCS复合分派规则的缩放参数
7.Tractability of Integration and Approximation of Some Multivariate Function Spaces;一些多变量函数空间的积分与逼近的易处理性
8.Uniqueness of 1st-order Polynomial Smooth Function for Support Vector Machines支持向量机一阶多项式光滑函数的唯一性分析
9.Considering diversity of population, a function is presented to describe diversity.考虑种群多样性,提出一种描述多样性的函数.
10.A method of getting multivariate distribution functions by B-splines多元分布函数的一种B-样条构造法
11.Quasi Score Function in Aggregated Data Nonlinear Regression Model聚集数据非线性模型中的拟得分函数
12.The construction of control Lyapunov functions for linear multivariable systems线性多变量系统的控制Lyapunov函数构造
13.Linear Admissibility of Vector Function in Growth Curve Model增长曲线模型中向量函数的线性可容许性
14.The Position of the Midpoint of the Power Function x~α in the Differentiation Median Formula;幂函数x~α在微分中值公式中的中值点的位置
15.The Growth of Solutions of Non-homogeneous Linear Differential Equations with Meromorphic Coefficients;亚纯函数系数非齐次线性微分方程解的增长性
16.For slow replacement the age distribution function assumed is unimportant.对缓慢置换，假设的时龄分布函数变得不重要。
17.The Theoretical Properties of Some Function Spaces in the Unit Disk;单位圆盘上一些函数空间的分析性质
18.Fuzzy Clustering Validity Function Based on the Increment of Overlap基于重叠度增量的模糊聚类有效性函数
相关短句/例句
diversity function多样性函数
1.The algorithm monitors diversity of population with diversity function.利用多样性函数对种群的多样性进行监控,并在多样性下降到一定程度时,引入免疫机制中的克隆选择算子和免疫记忆特性来对粒子进行更新,从而有效地克服了微粒群算法易陷于局部最优以及对多峰值函数搜索效果不佳的缺点。
2.Based on the value of diversity function,part-degenerate operator is use to improve the diversity of the new population,and premature is prevented.根据多样性函数值的大小,引入局部退化算子,改善种群的多样性,抑制早熟发生。
3)increment of diversity多样性增量
1.The method of increment of diversity with quadratic discriminant analysis(IDQD) is used to predict subcellular localization of proteins of four plant categories and three non-plant categories.应用基于多样性增量的二次判别分析(Increment of Diversity with Quadratic Discriminant analysis,IDQD)方法进行蛋白质亚细胞定位预测,对4个植物定位类型和3个非植物定位类型,5-fold交叉检验的总精度分别为87%和91%,所得结果与已有模型相比,预测结果较好。
2.The method of Increment of Diversity with Quadratic Discriminant analysis (IDQD) was used to predict the σ70 promoters in Escherichia coli K-12.应用多样性增量结合二次判别分析(Increment of Diversity with Quadratic Discriminant analysis,IDQD)方法,对大肠杆菌σ70启动子进行识别。
3.The method of Increment of Diversity combined with Quadratic Discriminant analysis(IDQD) was used to predict the nucleosome strong/weak preference-sequences in yeast genome.应用多样性增量结合二次判别分析(Increment of Diversity with Quadratic Discriminant analysis,IDQD)方法,对酵母基因组中的核小体强/弱偏好序列进行了识别。
4)displacement incremental function位移增量函数
1.In this paper,the metal displacement incremental function in the deformation zone on plug drawing mill can be estimated with extreme value principle.采用极值原理的功能平衡法，确定短芯棒拔管变形区内金属的位移增量函数，并依此建立拔制力计算模型。
5)diversity component多样性分量
6)score function得分函数
1.Thirdly,based on the point operator of the intuitionistic fuzzy number,a new score function is introduced to rank the alternatives.基于直觉模糊点运算引入了一种新的得分函数,对直觉模糊数进行排序。
2.The method defined the distance between interval-value Vague sets and score function,used the relationship matrix to determine the overall support degrees of sensors,then obtained the overall score function of the object,and gave the fusion result.定义区间值Vague集的距离和得分函数,利用关系矩阵确定各传感器的综合支持度,进而得到目标的综合得分函数,给出融合结果。
3.Furthermore,score function is used to get the priorities of alternatives.针对属性值以直觉模糊数形式给出的多属性决策中确定属性权重的问题,提出了一种直觉模糊数熵权的确定方法,依照传统权熵的确定方法的思路,通过一个公式求得直觉模糊熵;然后求得属性的信息熵;根据传统熵权确定公式得到属性权重,进而利用得分函数对方案进行排序;最后通过算例说明该方法的有效性和实用性。
延伸阅读
多样多种样式：～化ㄧ多种～。
