coalescence model
基本释义:
聚结模型
网络释义
1)coalescence model,聚结模型
2)model integration and selection,模型聚结与选择
3)Slipknot polymer network model,聚合物活结网模型
4)Aggregation model,聚集模型
5)Clustering model,聚类模型
6)incorporation model,团聚模型
用法和例句
This paper adopts a high-level Petri nets-based approach to build the multi-agent model of a supply chain, especially discusses the main ideas of approach and the steps for building the aggregation model by using sub-agent substitution, and gives an example.
供应链是一类典型的复杂适应系统,本文采用一种高级Petri网方法建立基于多主体的供应链模型,着重论述通过子主体代换建立多主体聚集模型的方法与步骤,并给出多主体聚集模型实例。
In this paper,three novel fuzzy clustering models are proposed based on the principle of cluster center separation.
根据聚类中心分离原则提出了三个新的模糊聚类模型。
Zero weight problems,which occur with the classical grey clustering model,can be solved.
基于指数型白化函数的灰色聚类改进模型避免了经典聚类模型存在零权重现象的缺陷,使得指标样本值与各级非零权重之间建立了一一对应关系,并将该模型用于计算各单项因子的最大控制值或最小削减量。
In this paper,according to the difference of region of China and influence factors of graduate area flowing when searching job,clustering model is shown with k-means algorithm as its core.
本文依据中国的区域异性及影响大学生就业区域流向驱动因素特性,在以k-means算法为核心的聚类模型基础上,运用2000-2008年中国大学生就业区域流向及其驱动因素面板数据,通过聚类模型分析,找出符合我国国情的地区差异性大学生就业区域流向因素。
Application of incorporation model in continuous system
团聚模型在连续体系中的应用
Application of Fuzzy Clustering Based on Entropy Weights in Flood Classification
基于熵权的模糊聚类模型在洪水分类中的应用
A Clustering Model Based on Web Mining for User Behavior
一种面向用户行为的Web聚类模型
Hybrid Nave Bayes Classification Model Based on Fuzzy Clustering
基于模糊聚类的混合朴素贝叶斯分类模型
Study on Selection of Typical Year With Water-sediment Based on Fuzzy Clustering Iterative Model
基于模糊聚类迭代模型的典型水文年选取研究
Study of the 3D CAD Model Clustering and Retrieving Technology;
三维CAD模型聚类与检索方法研究
Clustering Analysis and Rules Educing in ARMRDB;
ARMRDB模型中的聚类分析和规则提取
The Study and Application of Model Cluster Based on EM Algorithm;
基于EM算法的模型聚类的研究及应用
Research on GMM Optimization with Clustering in Speaker Identification;
说话人辨认中GMM模型的聚类优化研究
A Rough Set Model and Its Applications Based on Clustering Analysis;
基于聚类分析的粗糙集模型及其应用
Research on Load Model Based on K-Means Clustering Algorithm
基于K-means聚类算法的负荷模型研究
The Stand Growth Model Construction Research Based on Timing Analysis and Clustering
基于聚类和时序分析的林分生长模型
Research On the Clustering-based Triggering Network Monitoring Model
基于聚类的触发式网络监控模型研究
Typhoon Cloud Pattern Discovery Based on SOM Clustering
基于SOM聚类的台风云型模式发现
Hierarchical clustering algorithm based on cover rough set model
基于覆盖粗糙集模型的层次聚类算法
Part style developing model based on CHNN clustering algorithm
基于CHNN聚类算法的款式部件生成模型
Research of User Interests Clustering Algorithm Based on PLSA Model
基于PLSA模型的用户兴趣聚类算法研究
Random network topology model based on K-means
基于K均值聚类的随机网络拓扑模型
An Online Multi-model Identification Algorithm Based on Subtractive Clustering
基于减法聚类的多模型在线辨识算法
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