𝔖 Bobbio Scriptorium
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On “an improved approach for nonlinear system identification using neural networks”

✍ Scribed by Andrew I. Hanna; Danilo P. Mandic


Book ID
108171766
Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
126 KB
Volume
340
Category
Article
ISSN
0016-0032

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An improved approach for nonlinear syste
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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