model n. 1.模型,雏型;原型;设计图;模范;(画家、雕刻家的)模特儿;样板。 2.典型,模范。 3.(女服装店雇用的)时装模特儿。 4.样式,型。 5.〔口语〕极相似的人[东西]。 adj. 模型的,模范的。 a clay model 【雕刻】黏土原型。 a working model 机器的运转模型。 a model shot 【摄影】模型镜头。 a model aeroplane 模型飞机。 a model test 典型试验。 The boy is the perfect model of his father. 这孩子活像他父亲。 after [on] the model of 仿效…,拿…当做模范。 stand model 做模特儿。(〔英国〕 -ll-) vt. 1.作…的模型[雏型]。 2.(依照模型)制作,仿造,建造 (after;on;upon)。 3.设计,仿照,拿…做模范。 vi. 做模型;做模特儿。 delicately modeled features 清秀的面貌。 model a garden after the manner of Kew 仿照(伦敦) Kew 植物园设计的花园。 model oneself up (on) sb.仿效某人。
The core content in realizing target detection with morphological theory is to construct a target detection model and to form a corresponding automatic process 利用形态学理论实现目标检测的核心内容,是基于形态学理论建立目标检测模型,并形成相应的自动处理过程。
Then , some anomaly detection models based on monitoring system calls are discussed , especially the theory , algorithm , advantage and weakness of the hidden markov model 研究了一些基于系统调用监控的异常检测模型,重点分析了隐马尔可夫模型( hmm )的原理,算法,以及优缺点。
The innovation of the article is that a new intrusion detection model that is based on the theory of the artificial immune system is introduced in this article 近年来,基于人工免疫原理的ids系统研究成为了人们关注的热点。本文创新点在于提出了一种基于人工免疫原理的新型入侵检测模型。
According to the adaptation strategy we design a adaptive intrusion detection model , daids . in the last we describe the relational experimentations and analyse the result of the experimentations 在此基础上设计了一个自适应入侵检测模型daids ,并进行了相关的试验,取得了一些积极的结果。
In order to solve some issue on intrusion detection , this article focus on designing a adaptive intrusion detection model on the base of others " relation research 本文参考前人的相关工作,针对入侵检测系统( ids )存在的较低可信度、对专家依赖太多等问题设计了一个具有自适应性的入侵检测模型。
Another is to apply the expert control , intelligent control theory to the axle temperature rule and heat detection model . this will be the basis of the new era infrared axle detection system 二是将专家控制、智能控制论应用于轴温规律和热判模型的研究,这将是新一代红外线轴温探测系统的基础。
In view of the problems of using traditional machine learning method to detect the network intrusions , this paper proposes a network intrusion detection model based on support vector machine ( svm ) 摘要针对传统机器学习方法在检测网络入侵时存在的问题,给出一种基于支持向量机( svm )的网络入侵检测模型。
On learning process , the detection model dynamically processed every critical call , but did not use data mining or statistics from static data . therefore the increment learning could be implemented 在学习过程中,动态地处理每个关键调用,而不是对静态数据进行数据挖掘或统计,从而可以实现增量学习。
Furthermore , the multi - frame accumulation infrared subimage target detection model , image space transformation , segmented region recognition and infrared subimage tracking model are proposed in the dissertation 论文提出了多帧累积亚图像目标检测模型、图像空间变换、分割区域的识别和亚图像跟踪模型。
A detailed classification of the linux system calls according to their function and level of threat was presented . the detection model only aimed at critical calls ( i . e . the threat level 1 calls ) 系统调用按照功能和危险程度进行了分类,该模型只是针对每类中的关键调用(即危险级别为1摘要的系统调用) 。