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规则类的英文

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"规则类"怎么读用"规则类"造句

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  • regularia

例句与用法

  • Each rule class implements the
    每个规则类都实作了
  • To do this , you derive your own rules from an extraction rule class
    若要执行此操作,需从提取规则类派生出自己的规则。从
  • Rule and redeploy the rule class without changing the workflow code
    规则的初始化参数,并在不改变工作流程式码的情况下重新部署规则类
  • After you create an ace using one of the access rule or audit rule classes , you can add the rule to a resource or use it to remove an existing rule from a resource
    使用某个访问规则或审核规则类创建ace之后,可以向资源添加规则或使用ace从资源中移除现有规则。例如,您可以使用
  • Holzner continues - and most all xml programmers will agree myself included - that despite their complexity , w3c xml schemas provide a lot of important capabilities and are worth using for many classes of validation rules
    Holzner继续道- -几乎所有xml程序员都同意(包括我自己) - -如果不考虑其复杂性, w3c xml schema还是提供了许多重要能力,并值得用于许多确认规则类
  • The content of this paper is arranged as foll owing : chapter 1 introduces the concept of credit , credit risk and credit assessment , as well as the history and development of credit assessment ; chapter 2 introduces the history of ai technology , and the background of expert system and neural network . characters and disadvantages of expert system and neural network are presented respectively and the necessity of combining expert system and neural network is lightened ; chapter 3 shows the process of dealing with sample data , including the treatment of exceptional data and factor analysis , and puts forward the concrete framework of the mixed - expert credit assessment system ; chapter 4 introduces concept of object - oriented technology , and constructs object model and functional model after analyzing the whole system . it also illustrates the implementation of concrete classes by an example of rule class and the inference algorithm in the form of pseudocode ; chapter 5 introduces the structure of the whole system , the major functional models and their interfaces , and the characteristic of the system is also generalized ; chapter 6 summarizes the whole work , and points out the remaining deficiencies as well as the prospective of this method
    本文具体内容安排如下:第一章介绍了信用、信用风险、信用评价的概念,回顾了信用评价的历史、发展和现状,并综合各种信用评价模型,指出这些模型各自的优缺点:第二章简单描述了人工智能技术,着重介绍有关专家系统与神经网络的基础知识,通过总结它们的优缺点,指出结合专家系统与神经网络构造混合型专家系统的必要性;本章还介绍了神经网络子模块的概念,提出了混合型专家系统的一般框架与设计步骤:第三章对样本数据进行处理,包括异常数据的剔除、因子分析等,提出了信用评价混合型专家系统的具体框架结构,介绍了系统知识库的主要部分、基于优先级的正向推理机制的流程、以及基于事实的自动解释机制的具体实现方法;第四章介绍了面向对象技术,进而采用面向对象对信用评价系统进行分析,建立了对象模型和功能模型,并在此基础上,采用c + +语言以规则类为例说明系统中具体类的实现,用伪代码的形式描述了推理的算法;第五章描述了整个系统的结构,对系统主要功能模块和界面进行了介绍,并总结系统的特点;第六章总结了全文,指出本文所构造系统存在的不足以及对将来的展望。
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