A Novel Fuzzy Neural Network for Pattern Recognition
Neural network system is a self - learning adaptive system, and it is easy to associate, synthesize and generalize with its properties of fault - tolerance and robustness. Therefore, it is available to process the pattern information, which is hard to describe with language. In consideration of me shortage of Fuzzy Theory and the advantage of vague set, that is Fuzzy membership Junction has only one single value; it cannot get more reasonable classified and cognizable results. While vague sets distinguishing feature is having two values which present both of the opposite factors to deal with nonlinearities and uncertain system. In this paper, we define new fuzzy neurons and propose the structure of Vague Neural Network (VNN), and then we expounded the recognition method based on it.
Fuzzy neural network Vague set Pattern recognition Information proceeding method.
Yibiao Zhao Song Wang Shun Zhang Jian Pu Rui Fang
School of Traffic and Transportation, Beijing Jiaotong University School of Information and Computer Science, Beijing Jiaotong University
国际会议
Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)
北京
英文
286-291
2006-07-17（万方平台首次上网日期，不代表论文的发表时间）