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An Indeterminacy Causal Induction Auto-Reasoning Mechanism in Expert System

机译:专家系统中的不确定性因果归纳自动推理机制

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This Based on fuzzy language field and fuzzy language value structure,a new knowledge representation frame is presented.Generalized cell automation and the corresponding generalized induction logic causal model are also proposed,which can synthetically process random and fuzzy indeterminacy.Thus,a new indeterminacy causal induction auto-reasoning mechanism is presented on the basis of fuzzy state description.Moreover,application of the mechanism on intelligent controller is discussed.Meanwhile,experiments on protein secondary structure prediction.Improve the prediction accuracy and efficiency.
机译:在模糊语言领域和模糊语言价值结构的基础上,提出了一种新的知识表示框架。提出了广义单元自动化及其对应的广义归纳逻辑因果模型,可以对随机和模糊不确定性进行综合处理。在模糊状态描述的基础上,提出了诱导自动推理机制,并讨论了该机制在智能控制器中的应用。同时,对蛋白质二级结构预测进行了实验,提高了预测精度和效率。

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