Research and Development of Granular Neural Networks

Authors

Hui Li, School of Computer Science and Technology, China University of Mining and Technology, Xuzhou Jiangsu 221116 P. R. China
Shifei Ding

Author Country (or Countries)

Xuzhou Jiangsu 221116 P. R. China

Abstract

Granular neural networks(GNNs) as a new calculation system structure based on Granular Computing(GrC) and artificial neural network can be able to deal with all kinds of granular information of the real world. This article has made the summary on the development and the present situation of GNNs. Firstly, it introduces the basic model of GrC: word calculation model based on fuzzy sets theory, rough sets model, granular computing model based on quotient space theory and so on, summarizes the research progress of fuzzy neural networks(FNNs) and rough neural networks(RNNs), then analyses the ensemble-based methods of GNNs, researches their meeting point of three main GrC methods, and finally points out the research and development direction of GNNs.

Suggested Reviewers

N/A

Recommended Citation

Li, Hui and Ding, Shifei (2013) "Research and Development of Granular Neural Networks," Applied Mathematics & Information Sciences: Vol. 07: Iss. 3, Article 50.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol07/iss3/50