(1)推理网络模型(Inference Network Model) 频度论和认识论是概率论的两个学派。频度论把概率看作是与概率定律相关的统计 概念,而认识论观点则把概率看作是一种信任度。
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This paper builds a Bayesian inference network model based on the Rough Sets and Reason Rules and apply it to fulfill the medical data mining work.
本文构建了一个基于粗糙集和规则推理的贝叶斯网模型,并将其运用于现实病历数据进行挖掘工作。
A fuzzy neural network prediction control model is stated by using the logic inference performance of fuzzy control and the learning ability of neural network.
应用模糊控制的逻辑推理性能,借助神经网络的学习能力,提出了一种模糊神经网络预测控制模型。
By the research on the existent IR (Information retrieval) technology, a text retrieval model based on inference network is designed.
在研究现有文本信息检索技术的基础上,设计了基于推理网络的文本检索模型。
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