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网络规则的英文

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"网络规则"怎么读用"网络规则"造句

英文翻译手机手机版

  • net rule
  • network rule

例句与用法

  • The w3c ( the organisation that produces the majority of web standards ) produced a set of accessibility guidelines , as part of their wai project
    撰写大部分网络规则的组织)制作了一系列的关于可接近性的指导方针,作为他们wai项目的一部分。
  • Studied self - organization competition neural network to optimize fuzzy rules of neuro - fuzzy , so that the fuzzy net with optimal rules is obtained . 4
    将自组织竞争神经网络用于模糊神经网络规则的优化,得到在规则上优化了的模糊神经网络。
  • 4 . the current status of rule extraction of neural network was summaried . the neural network model of device was studied in rule extraction . 5
    对当前的神经网络抽取技术进行了总结,针对建立的气体分离装置的神经网络模型,进行神经网络规则提取的研究。
  • The most important work done by the w3c is the development of web specifications ( called " recommendations " ) that describe communication protocols ( like html and xml ) and other building blocks of the web
    W3c最重要的工作就是发展用于描述交互式协议(如: html和xml )的网络规则和其他网络组件。
  • A network rule for example , assigning full trust to http : server was added to the mycomputer zone when it should be in localintranet , or it was added to localintranet when it should be in trustedsites
    网络规则(例如,指定对http : / / server /的完全信任)应在localintranet中时却被添加到mycomputer区域,或者应在trustedsites中时却被添加到localintranet 。
  • From the reductions of decision table defined by history fault data , a series of nodes network rule sets , with suitable belief degree under different reductive levels , is developed by calculating the rough subjection degree of every rule
    该方法从历史故障数据所形成决策表的约简出发,通过计算规则的粗糙隶属度,形成不同简化层次上符合置信度要求的节点网络规则集。
  • Study of rule extraction in neural networks , we proposed a method that is able to extract if - then ruler from trained fannc networks in this paper , experimental result shows that those if - then rules are comprehensible , accurate
    在神经网络规则抽取方法研究中,提出了一种从fannc网络中抽取if - then规则的方法,试验结果表明,该方法能抽取可理解性好、预测精度高的if - then规则。
  • ( 2 ) this paper shows a knowledge getting method based on neural network rule extraction that integrates the neural network and expert system , which separates the studying rules and the using rules . this coincides with the international tendency that the intrusion rules will be normalized
    ( 2 )给出了在理论模型的学习模块中基于神经网络规则抽取方法的应用,在sl _ nids的总体设计中将神经网络技术和专家系统技术进行了有机的结合。
  • Based on analyzing the relationship between linear separability and a connected set in boolean space , the particular effect of a restraining neuron in extraction of rules from a bnn is discussed , and that effect is explained through a example called a mis problem in boolean space . in this paper , a pattern match learning algorithm of bnns is proposed . when a bnn has been trained by the algorithm , all the binary neurons of hidden layer belong to one or more ls series , if the logical meanings of those ls series are clear , the knowledge in the bnn can be dug out
    另一个研究成果是在分析线性可分和样本连通性关系的基础上,以mis问题为例,讨论了抑制神经元在二进神经网络规则提取中的独特作用,提出了二进神经网络的模式匹配学习算法,采用这种算法对布尔空间的样本集合进行学习,得到的二进神经网络隐层神经元都归属于一类或几类线性可分结构系,只要这几类线性可分结构系的逻辑意义是清晰的,就可以分析整个学习结果的知识内涵。
  • In this paper the design of network security architecture for the state monitor and management information system of housing private foundation is presented , including the comprehensive consideration of physical security , network security , operation system security , application and supporting platform security , and information security , etc ; it is carried on to analyze possible security threats , vulnerabilities and their risks , and a design scheme of network security architecture , especially the network regulations which have been adopted in the system implement , is proposed
    本文对全国住房公积金监督管理信息系统网络安全体系进行设计,包括对物理安全、网络安全、操作系统安全、应用系统及应用系统支撑平台安全、信息安全等各个层面进行综合考虑,并对其中的用户认证与访问控制和网络隔离技术等关键技术进行了详细分析。对网络中可能存在的安全威胁、安全脆弱点、以及由此产生的安全风险进行了分析,提出了相应的网络安全体系设计方案,尤其是明确提出了网络规则
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