模型分类 meaning in Chinese
category of model
Examples
- There is a problem in the wavelet edge detection that people cannot solve so far
为了解决这个问题，本文针对传统的边缘模型分类的不足，研究了一种新的分类方法。 - Packages enable modelers to organize the model s classifiers into namespaces , which is sort of like folders in a filing system
软件包使建模者能够组织模型分类器到名字空间中，这有些象文件系统中的文件夹。 - To build distributed simulation model base system and realize its management of simulation model need resolve many key technologies such as model storing , model accessing , model classifying , model describing , model sharing and model management and so on
建立分布式的仿真模型库系统、实现仿真模型的管理,需要解决分布式的模型存储、模型访问、模型分类、模型描述、模型共享、模型管理等关键性技术问题。 - This paper will study under layered real - time scheduling problem , which is based on the theory of mas ( multi - agent system ) . first , we research the structure model of mars , then an uniform model based on han ( hierarchical agent networks ) is proposed , which can unify all sorts of model ; second , the communication model of mars has been studied , then we propose high level communication model and under layered network topology model , and they are the same with mars ; three , ground on above , a real - time cimunication protocol for mars - - - - - rtcmr has been presented . in this paper , we study the under layered real - time scheduling protocol of rtcmr , which include real - time process scheduling and real - time message scheduling
本文首先研究了多智能体机器人系统结构模型，提出了多层次智能体网络一体化模型，该模型对各种结构模型分类进行了统一；然后对多智能体机器人系统的通信模型进行了研究，提出了适用于mars的高层通信模型和底层网络拓扑；在此基础上，提出了基于多智能体机器人系统的实时通讯协议? ? rtcmr ，本文对rtcmr的底层调度协议进行了研究，包括实时任务调度和实时报文调度，提出了sp ts协议系统，建立了sp ts算法的数学理论模型， sp ts协议系统在实现了实时任务的绝对时限保证的同时也实现了底层实时报文传输的绝对时限保证，实现了实时任务调度和实时报文调度的统一，最后，提出了基于sp ts协议的spp tsp统一控制结构，并给出了该结构的统一调度petri网模型。 - In the fourth section of the thesis , the method that constructing statistical features based - on time for connection records and using these features to construct classification models were studied in detail . in order to improve the accuracy of classification model and decrease the rate of false positive , some factors that may have bad influence on accuracy of classification model were analyzed and the method of selecting appropriate set of features was also provided
论文的第四部分，详细研究了使用网络连接记录的基本特征属性构建基于时间的统计特征属性方法，通过选择适当的特征属性集来提高异常检测模型的分类精度，降低误报率；同时分析了影响检测模型分类精度的因素；对不同实验条件下得到的实验结果进行了比较和分析。