Study of Knowledge Extracting Based on Linguistic Neural Network and Its Application to ITS
基于语言神经网络的知识获取方法研究及在智能教学系统中的应用

A new methodology of extracting rules from linguistic neural networks is proposed. A linguistic neural unit, which has the ability to analyze continuous input variables in open districts and produces corresponding linguistic variables, is described. The training method for network with linguistic neural layer is discussed. The rules extracted are represented in concise and comprehensible If-Then forms, and don't need to be simplified further. An example showing how to extract rules automatically from the expert domain knowledge for intelligent tutoring system (ITS) is given.