Nonlinear dynamic system identification using Chebyshev functional link artificial neural networks

A computationally efficient artificial neural network (ANN) for the purpose of dynamic nonlinear system identification is proposed. The major drawback of feedforward neural networks, such as multilayer perceptrons (MLPs) trained with the backpropagation (BP) algorithm, is that they require a large a...

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Main Authors: Kot, Alex Chichung, Patra, Jagdish Chandra
其他作者: School of Computer Engineering
格式: Article
語言:English
出版: 2011
主題:
在線閱讀:https://hdl.handle.net/10356/94174
http://hdl.handle.net/10220/7094
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機構: Nanyang Technological University
語言: English