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模型改进的英文

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"模型改进"怎么读用"模型改进"造句

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  • model refinement

例句与用法

  • The results agrees with the experiment well
    模型改进后,模拟结果更接近于实验值。
  • Amelioration of inventory modal with continuous and stochastic demands
    需求连续随机的库存模型改进
  • Forecast of the underground economy scale in china based on improved cash ratio model
    基于现金比率模型改进的我国地下经济规模测算
  • I ' ve always found that you need to address three basic issues during evaluation : what ' s good about the prototype , what ' s bad about the prototype , and what ' s missing from the prototype
    我发现在模型改进过程中经常要定位三个要点:模型的优点在哪里,模型的缺点在哪里,模型缺失了什么?
  • This model does improve the models of fuel spray and atomization , soot formation and oxidation , heat transfer of substance in cylinder is also considered
    模型改进了燃油喷射模型以及碳烟的生成与氧化模型,考虑了燃烧区的区间传热和缸内工质的对流辐射传热,由此对一台高压共轨柴油机进行了仿真计算。
  • This paper deals with statistics analysis about factor choose , model improvement and other concrete questions in apt , and experimental test about shenzhen ' s stock market . this essay can be divided into 3 chapters
    本文就套利定价模型( apt )中的因子选择、模型改进等具体问题作了进一步的统计分析及apt对我国深圳股票市场实证检验。
  • Moreover presents a step - to - optimization contract mode that can effectively estimate the cost of customer ' s participation in order to take a customer - specific incentive payment and maximize the benefit of utility by using the customer behaviors . meanwhile also discusses a model about the dynamic flow model with the consideration with interruptible load . on the other hand , this paper discusses the influence from the demand side generation for the electric power system and presents an advanced design model for distribution networks , especially for demand side generations
    本文首先总结了需求侧管理的基本概念和主要内容,然后根据以前的研究成果,提出一种基于用户行为的分步优化合约方案,能有效的估算用户实施该措施的成本,从而达到电力公司收益最优,同时讨论了考虑可中断负荷的动态潮流模型;另一方面,本文还基于分布发电技术,探讨了用户发电资源对电力系统的影响,并提出考虑该资源的配电网规划模型改进方案。
  • The paper firstly analyses key problem in the decision of client credit administrative - evaluation technology in credit , we put forward an index system to evaluate credit of client of enterprise at the foundation of credit evaluation technology . qualitative index and quantitative index are included in client credit evaluation system for the first time . we adopt fuzzy quantization and artificial neural network model multilevel bp algorithm of improving ( self - adaptation study speed adjustment and momentum a coefficient ) to study the credit risks evaluation of client of enterprise and has developed client credit management dss
    本文从分析客户信用管理决策中的关键问题? ?信用评估技术? ?入手,在比较以往信用评估技术的基础上,提出了进行企业客户信用评估的指标体系,将定性指标和定量指标一并纳入客户信用评估系统,采用模糊量化法和人工神经网络模型改进型多层bp算法(自适应学习速率调整和动量项系数) ,进行企业客户信用评估问题的研究,并写成程序应用到客户信用管理决策支持系统中。
  • Thirdly , it describes today cryptography and analyzes many algorithms and protocols to find some suite to adapt it . fourthly , it shows particularly the design and implementation of p2plt and some improvement by introducing the poblano trust model into the system . finally , it summarizes the research result and views the prospect of p2p and jxta and gives the direction of the future work
    首先简要介绍了p2p的研究发展情况和课题背景;随后详细分析整个jxta协议架构和应用特点,为以后的设计打下基础;接下来介绍了当前密码安全工程的主要技术,并分析各种算法和协议的优劣,为本课题找到比较合适的安全解决方案;然后是文章的核心内容,详细介绍了p2plt系统的设计原理和细节,并且通过引入了poblano信任模型改进了系统性能;最后简要总结了研究成果,并对课题做了展望,指出了进一步研究的方向。
  • To overcome the shortcomings of the traditional fuzzy algorithm , including complex management of diagnosis system , high difficulty in improvement and being unfavorable to accumulate experiences , the improved fuzzy algorithm is introduced to the state diagnosis for complex system , the model of state diagnosis for complex system based on the improved fuzzy algorithm is established , and a sample case is adopted to contrast and verify the state diagnosis model based on the traditional fuzzy algorithm and the state diagnosis model for complex system based on the improved fuzzy algorithm respectively , which indicates that although the latter is inferior in the speed of diagnosis , it has the significant advantages in simple management , easiness in improvement , accurate diagnosis , abundant diagnosis information and wide applications , so that its comprehensive performance is far beyond that of the diagnosis model based on traditional fuzzy algorithm
    摘要为了克服传统模糊算法的诊断系统建模复杂、改进难度大、不利于经验积累困难的缺点,在复杂系统的状态诊断中引入了改进的模糊算法,创建了基于改进模糊算法的复杂系统状态诊断模型,并以一个实例分别比较验证了基于传统模糊算法的状态诊断模型与基于改进模糊算法的复杂系统状态诊断模型,结果表明基于改进模糊算法的复杂系统状态诊断模型虽然在诊断速度方面稍逊一筹,但具有建模简单、模型改进容易、诊断准确、诊断信息丰富、适用性广泛等显著优点,其综合性能大大优于基于传统模糊算法的诊断模型。
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