knowledge inference

ESEP 3.0 is consist of knowledge edition, machine learning, steering fuzzy inference machine and explanation subsystems. The composing and resume of the system are introduced in this paper.

ESEP30由知识编辑、机器学习、驾驭式模糊推理机和解释等4个子系统组成，本文介绍了系统的组成和概况。

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Developing such system includes domain knowledge modeling, formalization and storage of knowledge ontology, inference of diagnosing.

系统开发工作包括领域知识本体建模 、 知识本体的形式化与存储 、 诊断推理等.

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The system includes knowledge base, inference machine, explanation machine and regulation management.

该系统包括知识库 、 推理机 、 解释器及规则管理.

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In this paper , a kind of generative approach CAPP based on knowledge inference is constructed.

结合杭州叉车总厂HC—CAPP工程应用项目, 构造了一种基于知识推理的创成式CAPP专家系统模型.

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Application of Expert System Knowledge-Base Expression and Inference Based on Index Lists

基于索引表的专家系统知识库表示与推理应用

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The knowledge method, database modeling, knowledge base maintenance and management, data mining knowledge acquisition and the simplifier design of the inference engine are further discussed in this paper.

本文从基础理论、知识预备入手，着重阐述了知识库构建和推理机设计。从知识表示方法、数据库建模、知识库维护管理、数据挖掘辅助知识获取和推理机简化设计等方面进一步进行了论述。

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The conclusions and the experience knowledge from the experts in this field comprise knowledge base of the fault diagnosis expert system ( ES). The control strategy of the inference engine consists of forward chaining and backward reasoning.

将分析结论作为故障诊断知识，结合经验知识等建立故障诊断专家系统知识库，运用正向推理与反向推理相结合的推理控制策略进行推理。

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The fuzzy policy gradient reinforcement learning, which incorporates a priori knowledge by using fuzzy inference systems, has been studied in this dissertation.

研究了利用模糊推理系统引入先验知识的策略梯度增强学习算法。

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The whole system uses object hierarchy as the central, and use event tree as a model to design fault diagnosis inference engine and knowledge base.

整个模块以对象的层次结构为中心，以事件树作为故障诊断模型来设计知识库和推理机。

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Strict logical paradox generally contains three important element factors: well-known background knowledge, refined logical-inference and contradictive equality that can be reasoned.

严格意义上的逻辑悖论有三大构成要素：公认正确的背景知识、严密无误的逻辑推导、能够推出矛盾等价式。

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