Identification of Nonlinear Systems Using Neural Networks and Polynomial Models
Publication year: 2005
ISBN: 978-3-540-31596-4
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The book gives a comparative study of their gradient approximation accuracy, computational complexity, and convergence rates and furthermore presents some new and original methods concerning the model parameter adjusting with gradient-based techniques. "Identification of Nonlinear Systems Using Neural Networks and Polynomal Models".
Subject: Engineering, Justin, Learning Algorithms, Nonlinear Systems, Polynomial Models, neural networks, nonlinear system, system identification
