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An stable online clustering fuzzy neural network for nonlinear system identification

✍ Scribed by José de Jesús Rubio; Jaime Pacheco

Publisher
Springer-Verlag
Year
2009
Tongue
English
Weight
432 KB
Volume
18
Category
Article
ISSN
0941-0643

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The ability of a neural network to realize some complex nonlinear function makes them attractive for system identification. In the recent past, neural networks trained with backpropagation learning algorithm have gained attention for the identification of nonlinear dynamic systems. However, the conv