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性能建模的英文

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"性能建模"怎么读用"性能建模"造句

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  • performance modeling

例句与用法

  • A performance model for domino mail server
    邮件服务器的性能建模
  • Key problems in the application of the method were pointed out , and possible solutions to these problems were also provided
    指出了这种性能建模方法在应用中需要解决的关键问题和可能的解决途径。
  • At the same time , we give a neural network ' s topological structure , which will use to solve the concrete problem oriented to threshing performance modeling
    同时针对脱粒装置性能建模这一具体问题,分析给出了用于对脱粒性能进行建模的基于ga - bp算法神经网络的实现。
  • To improve the representation capability for index relationships in enterprise performance modeling , the performance modeling method based on casual relationship was improved and an index improvement method based on conditioned probability was proposed
    摘要为增强企业性能建模中性能指标之间关系的表达能力,改进了基于因果关系的性能建模方法,提出了一种基于条件概率的指标关系改进方法。
  • By transforming architecture elements ( component and connector ) , we can get the process view of architecture . in the end we use the method to analyze the two cases in kwic system and compare the results of architecture performance analysis
    软件体系结构由构件和连接件组成,本文分析了构成体系结构的六种组成元素,通过这些组成元素的转化提取体系结构的进程视图,然后应用排队理论建立性能建模
  • Grey cast iron is a type of alloys containing more than one elements , and their properties are determineed by it ' s compositions , melting and pouring conditions in the preparing of melt . at the same time , it requres charging in the lowest cost . this is a common problem which must be coped with in the applications of grey cast iron , and the solving of it is of great practical values
    灰铸铁是由多种合金元素组成的复杂体系,其性能不但受成分和熔炼工艺参数的影响,同时还要考虑成本因素,其成分?工艺?性能建模和低成本配料,在灰铁工程应用中是一个普遍关注的问题,其研究具有较大的实际应用价值。
  • In this paper , by the coupled use of adaptive neuro - fuzzy inference modeling and artificial neural network learning ability , a set of " if - then " rules , which could help us better understanding the basic principles of alloying , have been generated directly from the experimental data . the developed adaptive neuro - fuzzy inference system ( anfis ) could map the relationships between compositions , melting parameters and mechanical properties accurately
    本文将自适应?神经模糊推理系统( anfis )建模方法用于材料成分?工艺?性能建模,克服了传统反向传播等网络结构仅具有函数逼近功能的“黑箱”缺点,在实现函数逼近的同时可直接从数据中总结规律,获得“ if - then ”形式表达的结构化知识,从而为数据中知识的发现和表达提供了一种有效的方法。
  • In this paper , based upon the accumulated product records and experimental data , the adaptive neuro - fuzzy inference system ( anfis ) method has been used to build mechanical properties models of al - si serises cast alloy . by the coupled use of adaptive fuzzy inference modeling and artificial neural network learning ability , a set of rules , which could help us better understanding the basic principles of alloying , have been generated directly from the experimental data
    在此基础上,利用多年来积累的生产和实验数据,将自适应神经-模糊推理系统方法用于铸造铝硅合金性能建模,融合模糊推理系统与神经网络,把模糊系统处理不确定性方法与神经网络的连接结构和学习方法结合起来,从数据中自动提取模糊规则,实现了铸造铝硅合金强度、延伸率和硬度等的自适应模糊预报。
  • We used delphi language to develop a ga - bp neural network ' s simulation software in this paper , which implemented the thoughts of threshing performance modeling . using this simulation software , we gave a experiment on the speed - controlled threshing unit for wheat offered by the college engineering of luoyang , the result of test verified the feasibility of threshing performance modeling . in the end of this thesis , the application prospect and further research domains of ga - bp neural network are presented
    本文用delphi语言开发的模型仿真软件实现了基于ga - bp算法的神经网络用于对脱粒装置性能模型进行优化的的思想,并利用该模型仿真软件对洛阳工学院农机研究室1994年的小麦控速喂入脱粒装置进行了性能建模仿真试验,试验结果验证了该模型用于脱粒装置性能建模研究的可行性。
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