truncation method meaning in English
截断法
截尾法
Examples
- Another strong convergence theorem is obtained by using the truncation method and conditional three series theorem
通过利用截尾方法和条件三级数定理，得到了在更高阶条件下的任意随机适应序列的强收敛定理。 - A class of strong convergence theorem for an arbitrarily adapted stochastic sequence without the non - decrease condition was established by using the truncation method of stochastic variables and the stop time
摘要引入了随机变量的截尾和停时的概念，在定理条件及其证明过程中适当地定义随机变量的截尾和停时，并通过定义鞅差序列和利用鞅差序列的收敛定理，得到了一类关于任意随机适应序列的强收敛定理。 - The algorithm is a new multi - objective optimization evolutionary algorithm using elitism , in which fine - grained fitness assignment strategy , a density estimation technique , and an enhanced archive truncation method are used . the algorithm can converge to the pareto optimal solutions rapidly and the non - dominated solutions gain better distribution and spread
Spea2算法是一种新的使用了精英机制的多目标优化演化算法，它采用了细粒度赋值策略和密度估计技术，整个算法可以快速收敛到pareto最优解，并且可以获得很好的分布性和延展性。 - Some limit properties of sequences of arbitrary b - valued random variables are studied by using truncation methods of random variables and conditional three series theorem , a class of strong limit theorems and convergence theorems for martingale difference sequences related to the conditional expectations are obtained , and some conclusions corresponding to these and some classical strong laws of large numbers are generalized
摘要利用随机变量的截尾方法和条件三级数定理，研究任意b值随机变量序列的极限性质，得到了一类关于条件期望的强极限定理和鞅差序列收敛定理，推广了与此相应的一些结果和若干经典的强大数定律。 - This thesis aims to discuss the clustering techniques with the background of large - scale nuclear physics science data mining . first , we introduce the key techniques and the main task in data mining , then we analyze the data preprocessing techniques and clustering techniques combine data mining techniques with science data . from data preprocessing aspect , we propose some methods of segmenting , denoising , integrating and transforming , and we use “ truncation method ” and “ successive difference method ” in data reduction , at last we extract information from the science data
论文基于大规模核物理科学数据挖掘的背景,全面介绍了数据挖掘的关键技术和主要任务,从理论、算法和应用三个层次,结合科学数据的特点来分析预处理技术和聚类方法,提出了很多实用的预处理方法:对hdf5科学数据进行分块、除噪、集成、变换等,同时对它使用“截断法”和“逐层求差法”进行规约,并对数据进行信息提取。