摘要
通过采用神经网络技术和引入动态神经元，提出了一种模糊知识自动获取方法，并应用于从分类数据样本集中获取以模糊语言值描述的模糊规则知识．文中着重讨论了这种神经网络模型、实现算法及模糊规则获取问题．实验结果表明了该方法的有效性和实用性．
This paper presents a fuzzy knowledge automatic acquisition approach by adopting the technology of neural networks and introducing dynamic neural units,and it is used to acquire the fuzzy knowledge described by the fuzzy linguistic values from the large scale sample set.The model of neural networks,implementation algorithm and problem of the fuzzy rule acquisition are discussed.The experimental results show that this approach is effective and practical. [
出处
《沈阳工业学院学报》
1998年第3期14-19,共6页
Journal of Shenyang Institute of Technology
