摘要
在分析了粗集理论方法和人工神经网络方法两者各自的特点与共同之处后，首先探讨粗集学习与神经网络学习的结合方法，然后提出一种基于粗集预处理的神经网络系统，最后给出一个基于粗集方法作为信息预处理的神经网络文字识别的例子。
Analyzed the generalities and specialities of rough sets and artificial neural networks in knowledge representation and process of signal classification, a minimum decision network combining rough sets with neural network learning in intelligence processing is investigated, and a kind of neural network system on rough sets is proposed for pattern recognition. Finally, a practical example of application in character recognition with neural networks on rough sets is given to illustrate the efficient method proposed here.
出处
《四川轻化工学院学报》
2000年第1期1-5,共5页
Journal of Sichuan Institute of Light Industry and Chemical Technology
基金
四川省科委应用研究重点项目课题基金
四川省学术带头人培养资金
关键词
粗集理论
神经网络
智能信息处理
模式识别
rough sets
neural networks
intelligence processing
pattern recognition
