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Study on a knowledge based expert system for diagnosing casting defects

机译:基于知识的铸件缺陷诊断专家系统的研究

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A knowledge based expert system for diagnosing casting defects is developed by using artificial intelligence technology. The knowledge base of the system is formed by the production rules. The uncertain problem of knowledge is solved using the forward-backward inference control strategy and certainty theory. The defect diagnosis of casting is realized according to the human expert's mode of thinking. The knowledge representation, inference technology and composition of the system are mainly discussed in the paper.
机译:利用人工智能技术开发了一种基于知识的铸件缺陷诊断专家系统。系统的知识库由生产规则构成。使用前后推论控制策略和确定性理论解决知识的不确定性问题。铸件的缺陷诊断是根据人类专家的思维方式来实现的。本文主要讨论系统的知识表示,推理技术和组成。

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