This paper has presented a method of designing a learning fuzzy logic reasoning network system.
提出了一种自学习模糊逻辑推理网络的系统设计方法。
Reasoning method based on fuzzy logic is used to simulate thinking processes of human experts, and reasoning network of strip mining expert system has been proposed.
对以模糊逻辑为基础的推理方法进行了探讨，并用以模拟专家的思维过程，提出了条带开采专家系统的推理网络。
Machine learning and data mining techniques are applied to acquire knowledge and build a concept reasoning network based on semantic dictionary and large training set.
在已有的英语语义词典及大量训练集的基础上，应用机器学习、数据挖掘等技术进行知识获取并最终形成若干个概念推理网。
We bring forward a hybrid model that is based on a combination of keywords and concept. The hybrid model is built on vector space model and probabilistic reasoning network.
本文在向量空间模型和概率推理网络的基础上提出了一个基于关键词与概念相结合的混合信息检索模型。
We bring forward a hybrid model that is based on a combination of keywords and concept. The hybrid model is built on vector space model and probabilistic reasoning network.
本文在向量空间模型和概率推理网络的基础上提出了一个基于关键词与概念相结合的混合信息检索模型。
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