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- W1519086514 abstract "The application of neural networks in system identification problems which involve nonlinear and dynamic relationships are studied in this chapter. Because there are many excellent books on all the well known types of neural networks this chapter briefly reviews multi layered perceptrons and Radial Basis Functions and focuses more on the new class of wavelet networks and the recently introduced multi-resolution wavelet models and networks with an emphasis throughout on the system identification problem. It is shown that all the problems that are relevant to linear and nonlinear system identification are also relevant to neural networks which are used for dynamic modelling. The problems of selecting or assigning the network input nodes, the effects of noisy measurements, bias, and network training for both nonlinear and linear in the parameter neural networks are discussed." @default.
- W1519086514 created "2016-06-24" @default.
- W1519086514 creator A5034885233 @default.
- W1519086514 date "2013-07-23" @default.
- W1519086514 modified "2023-09-23" @default.
- W1519086514 title "Neural Networks for Nonlinear System Identification" @default.
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- W1519086514 doi "https://doi.org/10.1002/9781118535561.ch8" @default.
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