1) inverse name frequency model
反比姓名概率模型
1.
In this paper we put forward an inverse name frequency model.
我们提出了基于语料库统计的反比姓名概率模型,并结合上下文模式、邻接链、特殊姓、位置依存信息等四个辨识模块,设计了一个中文姓名辨识系统。
2) probability model
概率模型
1.
Choice and Analysis of the Fracture Failure Probability Model of Pipelines;
管线断裂失效概率模型选取及分析
2.
Probability and non-probability model of laminated composite plate structures;
复合材料层合板结构的概率与非概率模型
3.
A new probability model for predication of equilibrium sand-bed height for liquid-solid two-phase flow in horizontal pipe;
水平固液两相管流平衡砂床高度计算的概率模型
3) probabilistic model
概率模型
1.
The concrete carbonating and analysis of probabilistic model;
概率模型分析与混凝土碳化
2.
Investigation on probabilistic model for fatigue-creep failure of alloy GH30;
GH30合金疲劳-蠕变概率模型的研究
3.
The Inference of probabilistic model of geotechnical parameters based on optimal numerical approximation method;
基于最佳数值逼近法的岩土参数概率模型推断
4) probability models
概率模型
1.
Estimating the Probability of Winning a Prize in Guangdong Basketball Lottery Based on Probability Models;
利用概率模型估算广东篮球彩票的中奖概率
2.
Analysis of Sensitive Parameter and Damage Threshold Probability Models for MOS Devices Total Dose Irradiation Effects
MOS器件总剂量效应敏感参数及其损伤阈值的概率模型分析
3.
The present paper firstly points out the fault of the existing probability models about ship impact against bridges,and based on accident records,new probability models adapting to the characteristics of narrow waterway,strait/bay waterway and inland waterway are built.
指出国内外既有船撞桥概率模型的不足之处。
5) model probability
模型概率
1.
A multiple model fusion method for satellite orbit determination based on model probability was researched.
针对实际定轨系统中存在的不确定性和非线性性,提出了一种基于模型概率的多模型融合定轨方法。
6) probabilistic models
概率模型
1.
This paper advances the probabilistic models for the structural resistance, and expoundes the probabilistic models of independent increment process and the basic conditions the models should accord with.
完善了结构抗力的随机过程概率模型,对独立增量过程概率模型作了更深入的阐述,并论述了抗力概率模型应满足的基本条件。
2.
This paper proposes an estimation of distribution algorithm with decision-tree-based probabilistic models for multi-objective optimization in continuous domains.
提出了一种采用基于决策树概率模型表示各变量之间条件相关性的分布估算算法:实数编码多目标贝叶斯优化算法(RCMBOA)。
3.
Based on this,a new fast evolutionary algorithm based on probabilistic models is proposed.
本文介绍了其产生背景和基本原理 ,分析了复杂概率模型导致的计算复杂性 ,在此基础上提出快速概率分析进化算法的概念和算法模型 。
补充资料：姓名
1.姓和名字。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条