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: | , |
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格式: | Article |
語言: | English |
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2011
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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 |