自动解释 meaning in Chinese
automatic interpretation
automatical interpretation
Examples
- Specifies that this type interprets an lptstr automatically
指定此类型自动解释lptstr 。 - Wrap an tag around runs of three or more capital letters automatically
多层标签定义三个或更多个字母，自动解释。 - Automatically accounts for the new component , this is as easy as creating any other component or control
因为“工具箱”会自动解释新组件，所以这和创建任何其他组件或控件一样简单。 - 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。 - This work is contributed to the design and the construction of the traditional expert system part of the mixed system . firstly , we deal with sample data provided by a bank in fujian and abstract financial ratios by statistical methods ; secondly , we construct knowledge base according to area - knowledge of credit assessment , and design a priority - based forward - inference engine and a fact - based automatic explaining mechanism ; thirdly , we adopt object - oriented technology to analysis the system and construct object model and functional model of expert system ; finally , by using access database to construct system knowledge base , and c + + builder software to program , we develop a credit assessment prototype system based on mix - expert system
以某银行提供的企业样本数据为基础，在完成对样本数据处理、抽取财务比率等基本工作后，根据信用评价领域知识的特点构建了系统的知识库，设计了基于优先级的正向推理机制与基于事实的自动解释机制，然后采用面向对象技术对系统进行分析，建立专家系统的对象模型和功能模型，在此基础上，采用access数据库设计系统的知识库，采用c + + builder开发软件实现了基于混合型专家系统的可视化信用评价系统原型。