| 1. | Integrated inference mechanism based on decision trees and cases is implemented
实现了基于决策树和案例的集成推理机制。 |
| 2. | This integrated inference mechanism enhances the accuracy of diagnostic and improves the efficiency of reasoning
这种集成推理机制增强了诊断的准确性，提高了诊断推理的效率。 |
| 3. | And on the other hand to designed new " multi - ejb " inference mechanism based on j2ee technology
另一方面采用ejb组件技术来构建推理机，并采用j2ee技术对专家系统的网络平台进行了设计。 |
| 4. | Due to its powerful representation formalism and associated inference mechanism , the method has obvious advantages in knowledge abstraction
由于本体具有清晰的表达语法和继承规则，这种方法对于企业知识的抽取具有明显优势。 |
| 5. | 3 . this paper analyzes the inference mechanism based on neural network and discusses two inference methods which are forward and backward inference
深入分析了基于神经网络的推理算法的运行机理，讨论了正向推理和逆向推理算法的特点。 |
| 6. | Then , the paper use one chapter to explain design of " multi - ejb " inference mechanism . at last , the paper give a whole design of agricultural expert system platform base on j2ee
在接下来的章节中对推理机进行了重新设计，最后给出了整个系统的设计。 |
| 7. | We have done a lot of research on the semantic web and rdf inference mechanism and proposed a information retrieval framework based on rdf inference mechanism
本文通过对语义万维网结构的分析以及rdf推理技术的研究,提出了一种基于rdf推理机制的信息检索框架。 |
| 8. | By deriving document type definition from a frame , the frame is mapped to xml document to integrate conceptual modeling , inheritance and inference mechanism with the popularity , simplicity and flexibility of xml
提出了框架到dtd的映射方法，将框架的抽象性、表达能力与xml的通用性、灵活性和可扩展性结合起来。 |
| 9. | By investigating the particular requirements for building knowledge base and inference mechanism of the expert system based on web , the methodology for transferring the isolated diagnosis resources into ercd ’ s service cell is given
通过研究web环境下远程诊断专家系统对知识库及推理机实现的特殊要求,分析讨论了信息孤岛式诊断资源和服务单元作为可用远程协同诊断服务单元提取呈现的方法。 |
| 10. | This framework is composed of semantic modeling of certain domain , semantic description of resources , extension search of semantic model , and etc . this paper emphasize on rdf inference mechanism , which is the fundamental of sematic retrieval
该框架主要由特定领域的语义建模、信息资源的语义描述、语义模型扩展查询等部分组成。 rdf的推理机制是本文研究的重点,也是进行语义检索的理论基础。 |
