Sequential learning processes in neural networks applied as models of nonlinear systems
Asymptotic properties of an online gradient algorithm with a constant step size used to study in a neural network a model of nonlinear systems having a single hidden layer. Substantiation of the conditions guaranteeing the convergence of this algorithm.
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