Fuzzy polynomial neuron-based self-organizing neural networks. (English) Zbl 1036.93039
A new category of neurofuzzy networks – self-organizing neural networks (SONN) with fuzzy polynomial neurons – is developed. The topology of two kinds of SONN architectures is presented, and a comprehensive design methodology is discussed. The analysis shows that SONN are models exhibiting higher accuracy than some other fuzzy models.
Reviewer: Angela Slavova (Sofia)
MSC:
| 93C42 | Fuzzy control/observation systems |
| 92B20 | Neural networks for/in biological studies, artificial life and related topics |
Keywords:
self-organizing neural networks; fuzzy polynomial neuron; fuzzy rule-based computing; design methodologyReferences:
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