基于粗糙集和神经网络的联合模式识别系统  

A pattern recognition system based on rough set theory and neural network

作　　者：余卫雄[1] 姜礼平[2] 萧彧星[3] 

机构地区：[1]海军工程大学管理工程系,湖北武汉430033 [2]海军工程大学理学院,湖北武汉430033 [3]海军工程大学电子工程学院,湖北武汉430033

出　　处：《海军工程大学学报》2006年第2期87-90,共4页Journal of Naval University of Engineering

摘　　要：提出了一种划分属性离散区间的新方法.针对这种划分,提出一种约简和去噪的方法.随后,建立了粗糙集和LVQ神经网络的联合模式识别系统.最后,比较了用该系统和仅用神经网络进行识别的效果,证明了该方法的有效性.A new method of mapping the value of attribute into the discrete value with a fine value partition granularity is proposed firstly. Based on this method is a reduction searching algorithm and noise-reduction. Then a system of pattern recognition based on rough set and neural network is established. Finally, the effectiveness is verified those from neural networks. by comparing results obtained from the system with

关 键 词：神经网络 粗糙集 信息熵 模式识别 

分 类 号：O23[理学—运筹学与控制论] TP391[理学—数学]