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Research and Development of Granular Neural Networks |
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PP: 1251-1261 |
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Author(s) |
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Hui Li,
Shifei Ding,
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Abstract |
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| 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. |
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