Some Features of Neural Networks as Nonlinearly Parameterized Models of Unknown Systems Using an Onl

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This paper deals with deriving the properties of updated neural network model that is exploited to identify an unknown nonlinear system via the standard gradient learning algorithm. The convergence of this algorithm for online training the three-layer neu
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