Journal
GRANULAR COMPUTING
Volume 1, Issue 4, Pages 247-257Publisher
SPRINGERNATURE
DOI: 10.1007/s41066-016-0020-7
Keywords
Granular neural networks; Granular computing; Information granules; Modular; Fuzzy logic
Funding
- National Natural Science Foundation of China (NSFC) [61305100]
- projects of Communication University of China
- Fund of CSCSE
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Granular neural networks (GNN) are designed to process complex non-numerical data or the combination of numerical and non-numerical data. The concept of granules here refers to various data groups which are drawn together by the criteria of similarity or functionality. Granular neural networks are being used in areas of knowledge discovery, pattern recognition, etc. This paper carries out a comprehensive review of articles that involve a comparative study of different types of granular neural networks and their application. This study aims to give useful insight into the capability of granular neural networks.
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