摘要
提出将RS理论与人工神经网络结合起来进行模式识别的RS神经网络智能系统。并应用该系统对地质样品进行分类,分类结果表明:本系统速度快、易实现,而且在优选属性、最大程度地减少地质样品分析测试指标种数、提高分类正确率等方面,优于其它方法。
The author of this paper draws the merits of the two: advancing an intelligent system combining RS with artificial neural network, which does pattern recognition: and does geological samples classfication with the system. The result shows that the system has the advantages of fast computation and easy realization, and that the system is better than other methods in optimating attributes, decreasing the indexes of analysising and testing geological samples to a great extent, and enhancing the right ratio of classfication etc.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
1999年第1期1-5,共5页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金
湖北省自然科学基金
关键词
智能系统
RS理论
人工神经网络
分类
干酪根
Intelligent System, Rough Set Theory, Artificial Neural Network, Pattern Recognition, Attribute Selection, Classfication
