071 Nonlinear system identification using multilayer neural networks: Some ideas for initial weights, number of hidden neurons and error criteria

doi:10.1016/0967-0661(94)91698-5

071 Nonlinear system identification using multilayer neural networks: Some ideas for initial weights, number of hidden neurons and error criteria

Control Engineering Practice ◽

10.1016/0967-0661(94)91698-5 ◽

1994 ◽

Vol 2 (6) ◽

pp. 1069

Keyword(s):

Neural Networks ◽

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Multilayer Neural Networks ◽

Hidden Neurons

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Nonlinear System Identification Using Multilayer Neural Networks: Some Ideas for Initial Weights, Number of Hidden Neurons and Error Criteria

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)48485-0 ◽

1993 ◽

Vol 26 (2) ◽

pp. 345-348 ◽

Cited By ~ 3

Author(s):

J. Suykens ◽

B. de Moor

Keyword(s):

Neural Networks ◽

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Multilayer Neural Networks ◽

Hidden Neurons

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Estimating the number of hidden neurons in recurrent neural networks for nonlinear system identification

2009 IEEE International Symposium on Industrial Electronics ◽

10.1109/isie.2009.5213122 ◽

2009 ◽

Cited By ~ 2

Author(s):

P. Gil ◽

A. Cardoso ◽

L. Palma

Keyword(s):

Neural Networks ◽

System Identification ◽

Nonlinear System ◽

Recurrent Neural Networks ◽

Nonlinear System Identification ◽

Hidden Neurons

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Two Types of Haar Wavelet Neural Networks for Nonlinear System Identification

Neural Processing Letters ◽

10.1007/s11063-012-9218-0 ◽

2012 ◽

Vol 35 (3) ◽

pp. 283-300 ◽

Cited By ~ 13

Author(s):

Juan Cordova ◽

Wen Yu

Keyword(s):

Neural Networks ◽

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Haar Wavelet ◽

Wavelet Neural Networks

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Nonlinear system identification of a lower limb model by Fuzzy Wavelet Neural Networks

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon.2013.6699712 ◽

2013 ◽

Cited By ~ 2

Author(s):

Leandro Luttiane S. Linhares ◽

Jose Medeiros de Araujo ◽

Fabio Meneghetti. U. Araujo

Keyword(s):

Neural Networks ◽

System Identification ◽

Nonlinear System ◽

Lower Limb ◽

Nonlinear System Identification ◽

Wavelet Neural Networks ◽

Fuzzy Wavelet Neural Networks

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Nonlinear system identification and model reduction using artificial neural networks

Computers & Chemical Engineering ◽

10.1016/s0098-1354(03)00137-6 ◽

2003 ◽

Vol 27 (12) ◽

pp. 1741-1754 ◽

Cited By ~ 42

Author(s):

Vinay Prasad ◽

B.Wayne Bequette

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

System Identification ◽

Nonlinear System ◽

Model Reduction ◽

Nonlinear System Identification ◽

Artificial Neural

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Impact of random weights on nonlinear system identification using convolutional neural networks

Information Sciences ◽

10.1016/j.ins.2018.10.019 ◽

2019 ◽

Vol 477 ◽

pp. 1-14 ◽

Cited By ~ 4

Author(s):

Wen Yu ◽

Mario Pacheco

Keyword(s):

Neural Networks ◽

System Identification ◽

Nonlinear System ◽

Convolutional Neural Networks ◽

Nonlinear System Identification ◽

Random Weights

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Wavelet neural networks for continuous time nonlinear system identification

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)56663-x ◽

1999 ◽

Vol 32 (2) ◽

pp. 3885-3890

Author(s):

W.C. Daniel Ho ◽

Jinhua Xu

Keyword(s):

Neural Networks ◽

System Identification ◽

Nonlinear System ◽

Continuous Time ◽

Nonlinear System Identification ◽

Wavelet Neural Networks

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Neural Networks for Nonlinear System Identification

Nonlinear System Identification ◽

10.1002/9781118535561.ch8 ◽

2013 ◽

pp. 261-287

Keyword(s):

Neural Networks ◽

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification

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Dynamic neural networks with hybrid structures for nonlinear system identification

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2012.05.003 ◽

2013 ◽

Vol 26 (1) ◽

pp. 281-292 ◽

Cited By ~ 15

Author(s):

Jiamei Deng

Keyword(s):

Neural Networks ◽

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Hybrid Structures ◽

Dynamic Neural Networks

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Nonlinear System Identification and Learning Control of Flexible Arm with one degree of freedom using Neural Networks

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C ◽

10.1299/kikaic.70.1441 ◽

2004 ◽

Vol 70 (693) ◽

pp. 1441-1448

Author(s):

Ryota YAMASHINA ◽

Toshiki HAYASHI ◽

Tetsuro YABUTA

Keyword(s):

Neural Networks ◽

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Learning Control ◽

Degree Of Freedom ◽

Flexible Arm

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