Hybrid Generalised Additive Type-2 Fuzzy-Wavelet-Neural Network in Dynamic Data Mining

In the paper, a new hybrid system of computational intelligence is proposed. This system combines the advantages of neuro-fuzzy system of Takagi-Sugeno-Kang, type-2 fuzzy logic, wavelet neural networks and generalised additive models of Hastie-Tibshirani. The proposed system has universal approximat...

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Sparad:
Bibliografiska uppgifter
Huvudupphovsmän: Bodyanskiy Yevgeniy, Vynokurova Olena, Pliss Iryna, Tatarinova Yuliia
Materialtyp: Artigo
Språk:Inglês
Publicerad: RTU PRESS 2015-12-01
Serie:Information Technology and Management Science
Ämnen:
Computational intelligence
evolutionary computations
fuzzy neural networks
hybrid intelligent systems
Länkar:http://www.degruyter.com/view/j/itms.2015.18.issue-1/itms-2015-0011/itms-2015-0011.xml?format=INT
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