Optimal input selection for neural fuzzy modelling with application to Charpy energy prediction

2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011) ◽

10.1109/fuzzy.2011.6007735 ◽

2011 ◽

Author(s):

Yong Y. Yang ◽

Mahdi Mahfouf ◽

Qian Zhang

Keyword(s):

Fuzzy Modelling ◽

Input Selection ◽

Energy Prediction ◽

Optimal Input ◽

Selection For ◽

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Optimal Input Selection for Recurrent Neural Network in Predictive Maintenance

2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS) ◽

10.1109/ccoms.2019.8821669 ◽

2019 ◽

Author(s):

Tayaba Abbasi ◽

King Hann Lann ◽

I. Ismail

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Predictive Maintenance ◽

Input Selection ◽

Optimal Input ◽

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Input Selection for Fuzzy Modelling

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)30843-1 ◽

2004 ◽

Vol 37 (16) ◽

pp. 13-18

Author(s):

Radek Šindelář

Keyword(s):

Fuzzy Modelling ◽

Input Selection ◽

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Optimal input selection for neural machine interfaces predicting multiple non-explicit outputs

2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2008.4649327 ◽

2008 ◽

Author(s):

Eileen T. Krepkovich ◽

Eric J. Perreault

Keyword(s):

Input Selection ◽

Optimal Input ◽

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Optimal Input Selection for MISO Systems Identification: Applications to BMIs

Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005. ◽

10.1109/cne.2005.1419581 ◽

2005 ◽

Author(s):

E.J. Perreault ◽

D.T. Westwick ◽

E.A. Pohlmeyer ◽

S.A. Solla ◽

L.E. Miller

Keyword(s):

Input Selection ◽

Optimal Input ◽

Systems Identification ◽

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Finite-horizon input selection for system identification

42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475) ◽

10.1109/cdc.2003.1272390 ◽

2004 ◽

Author(s):

S.L. Lacy ◽

D.S. Bernstein ◽

R.S. Erwin

Keyword(s):

System Identification ◽

Finite Horizon ◽

Input Selection ◽

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Neural model input selection for a MIMO chemical process

Engineering Applications of Artificial Intelligence ◽

10.1016/s0952-1976(99)00046-9 ◽

2000 ◽

Vol 13 (1) ◽

pp. 15-23 ◽

Author(s):

D.L. Yu ◽

J.B. Gomm ◽

D. Williams

Keyword(s):

Chemical Process ◽

Neural Model ◽

Input Selection ◽

Model Input ◽

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Submodular Input Selection for Synchronization in Kuramoto Networks

2020 59th IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc42340.2020.9304102 ◽

2020 ◽

Author(s):

Dinuka Sahabandu ◽

Andrew Clark ◽

Linda Bushnell ◽

Radha Poovendran

Keyword(s):

Input Selection ◽

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Input selection for disturbance rejection under manipulated variable constraints

Computers & Chemical Engineering ◽

10.1016/s0098-1354(97)87535-7 ◽

1997 ◽

Vol 21 ◽

pp. S403-S408 ◽

Author(s):

Yi Cao ◽

Diane Rossiter ◽

David Owens

Keyword(s):

Disturbance Rejection ◽

Input Selection ◽

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Non-Linear Spatio-Temporal Input Selection for Rainfall Forecasting Using Recurrent Neural Networks

2018 International Seminar on Intelligent Technology and Its Applications (ISITIA) ◽

10.1109/isitia.2018.8710864 ◽

2018 ◽

Author(s):

Ahmad Saikhu ◽

Agus Zainal Arifin ◽

Chastine Fatichah

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Rainfall Forecasting ◽

Input Selection ◽

Selection For ◽

Spatio Temporal

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Input Selection for Long-Term Prediction of Time Series

Computational Intelligence and Bioinspired Systems - Lecture Notes in Computer Science ◽

10.1007/11494669_123 ◽

2005 ◽

pp. 1002-1009 ◽

Author(s):

Jarkko Tikka ◽

Jaakko Hollmén ◽

Amaury Lendasse

Keyword(s):

Time Series ◽

Input Selection ◽

Term Prediction ◽

Selection For ◽

Long Term Prediction

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