Feedforward neural networks using RPROP algorithm and its application in system identification

Proceedings. International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2002.1175396 ◽

2003 ◽

Cited By ~ 2

Author(s):

Li-Hui Zhou ◽

Pu Han ◽

Song-Ming Jiao ◽

Bi-Rua Lin

Keyword(s):

Neural Networks ◽

System Identification ◽

Feedforward Neural Networks

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NON-LINEAR SYSTEM IDENTIFICATION USING LUMPED PARAMETER MODELS WITH EMBEDDED FEEDFORWARD NEURAL NETWORKS

Mechanical Systems and Signal Processing ◽

10.1006/mssp.2001.1466 ◽

2002 ◽

Vol 16 (2-3) ◽

pp. 357-372 ◽

Cited By ~ 6

Author(s):

YIMIN FAN ◽

C. JAMES LI

Keyword(s):

Neural Networks ◽

System Identification ◽

Linear System ◽

Feedforward Neural Networks ◽

Lumped Parameter ◽

Lumped Parameter Models ◽

Non Linear ◽

Linear System Identification ◽

Non Linear System

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Global Sensitivity Analysis Approach for Input Selection and System Identification Purposes—A New Framework for Feedforward Neural Networks

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2013.2294437 ◽

2014 ◽

Vol 25 (8) ◽

pp. 1484-1495 ◽

Cited By ~ 17

Author(s):

Eric Fock

Keyword(s):

Neural Networks ◽

Sensitivity Analysis ◽

System Identification ◽

Global Sensitivity Analysis ◽

Feedforward Neural Networks ◽

Analysis Approach ◽

Input Selection ◽

Global Sensitivity ◽

New Framework

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Dynamic System Identification Using Feedforward Neural Networks

Neural Networks for Identification, Prediction and Control ◽

10.1007/978-1-4471-3244-8_2 ◽

1995 ◽

pp. 25-46

Author(s):

Duc Truong Pham ◽

Xing Liu

Keyword(s):

Neural Networks ◽

System Identification ◽

Dynamic System ◽

Feedforward Neural Networks

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Developing smart micromachined transducers using feedforward neural networks: a system identification and control perspective

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium ◽

10.1109/ijcnn.2000.860797 ◽

2000 ◽

Author(s):

E.I. Gaura ◽

R.J. Rider ◽

N. Steele

Keyword(s):

Neural Networks ◽

System Identification ◽

Feedforward Neural Networks ◽

And Control ◽

Micromachined Transducers

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Application of feedforward neural networks to dynamical system identification and control

IEEE Transactions on Control Systems Technology ◽

10.1109/87.221350 ◽

1993 ◽

Vol 1 (1) ◽

pp. 37-49 ◽

Cited By ~ 158

Author(s):

J.G. Kuschewski ◽

S. Hui ◽

S.H. Zak

Keyword(s):

Dynamical System ◽

Neural Networks ◽

System Identification ◽

Feedforward Neural Networks ◽

Dynamical System Identification ◽

And Control

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Model structure selection for nonlinear system identification using feedforward neural networks

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium ◽

10.1109/ijcnn.2000.857813 ◽

2000 ◽

Cited By ~ 3

Author(s):

I. Petrovic ◽

M. Baotic ◽

N. Peric

Keyword(s):

Neural Networks ◽

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Feedforward Neural Networks ◽

Model Structure ◽

Structure Selection ◽

Selection For ◽

Model Structure Selection

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Solving a Combinatorial Optimization Problem with Feedforward Neural Networks

1993 American Control Conference ◽

10.23919/acc.1993.4793106 ◽

1993 ◽

Author(s):

Xianzhong Cui ◽

Kang G. Shin

Keyword(s):

Neural Networks ◽

Combinatorial Optimization ◽

Optimization Problem ◽

Feedforward Neural Networks ◽

Combinatorial Optimization Problem

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Effect of inhibitory firing patterns on information transmission in feedforward neural networks

2019 Chinese Control Conference (CCC) ◽

10.23919/chicc.2019.8865330 ◽

2019 ◽

Author(s):

Pengzhen Zhang ◽

Bin Deng ◽

Xinmeng Guo ◽

Jiang Wang ◽

Haitao Yu

Keyword(s):

Neural Networks ◽

Information Transmission ◽

Feedforward Neural Networks ◽

Firing Patterns

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Experiment design considerations for non-linear system identification using neural networks

Computers & Chemical Engineering ◽

10.1016/s0098-1354(96)00003-8 ◽

1997 ◽

Vol 21 (3) ◽

pp. 327-346 ◽

Cited By ~ 34

Author(s):

S.K. Doherty ◽

J.B. Gomm ◽

D. Williams

Keyword(s):

Neural Networks ◽

System Identification ◽

Linear System ◽

Experiment Design ◽

Design Considerations ◽

Non Linear ◽

Linear System Identification ◽

Non Linear System

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Asymptotic Prediction Error Variance for Feedforward Neural Networks

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.1310 ◽

2020 ◽

Vol 53 (2) ◽

pp. 1108-1113

Author(s):

Magnus Malmström ◽

Isaac Skog ◽

Daniel Axehill ◽

Fredrik Gustafsson

Keyword(s):

Neural Networks ◽

Prediction Error ◽

Feedforward Neural Networks ◽

Error Variance ◽

Prediction Error Variance

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