A greenhouse modeling and control using deep neural networks

1995 ◽

Vol 8 (6) ◽

pp. 689-701 ◽

Cited By ~ 13

Author(s):

Atsushi Aoyama ◽

Venkat Venkatasubramanian

Keyword(s):

Neural Networks ◽

Internal Model ◽

Internal Model Control ◽

Modeling And Control ◽

Control Framework ◽

Model Control ◽

And Control

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Adaptive Modeling and Control of an Upper-Limb Rehabilitation Robot Using RBF Neural Networks

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-04239-4_21 ◽

2018 ◽

pp. 235-245

Author(s):

Liang Peng ◽

Chen Wang ◽

Lincong Luo ◽

Sheng Chen ◽

Zeng-Guang Hou ◽

...

Keyword(s):

Neural Networks ◽

Upper Limb ◽

Rehabilitation Robot ◽

Rbf Neural Networks ◽

Adaptive Modeling ◽

Upper Limb Rehabilitation ◽

Modeling And Control ◽

Limb Rehabilitation ◽

And Control

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Urban expressway traffic flow modeling and control using artificial neural networks

Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems ◽

10.1109/itsc.2003.1252067 ◽

2004 ◽

Author(s):

Shen Guojiang ◽

Dai Huaping ◽

Liu Xiang ◽

Wang Zhi ◽

Sun Youxian

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Traffic Flow ◽

Flow Modeling ◽

Modeling And Control ◽

Urban Expressway ◽

Artificial Neural ◽

And Control

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Steady-State Modeling and Control of Molecular Weight Distributions in a Styrene Polymerization Process Based on B-Spline Neural Networks

Advances in Neural Networks – ISNN 2007 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72383-7_39 ◽

2007 ◽

pp. 329-338 ◽

Cited By ~ 2

Author(s):

Jinfang Zhang ◽

Hong Yue

Keyword(s):

Neural Networks ◽

Molecular Weight ◽

Steady State ◽

Polymerization Process ◽

Styrene Polymerization ◽

Modeling And Control ◽

B Spline ◽

Molecular Weight Distributions ◽

Weight Distributions ◽

And Control

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Modeling and Control of Molten Carbonate Fuel Cells Based on Feedback Neural Networks

Advances in Neural Networks – ISNN 2007 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72383-7_26 ◽

2007 ◽

pp. 213-221 ◽

Cited By ~ 1

Author(s):

Yudong Tian ◽

Shilie Weng

Keyword(s):

Neural Networks ◽

Fuel Cells ◽

Molten Carbonate ◽

Modeling And Control ◽

Molten Carbonate Fuel Cells ◽

And Control ◽

Feedback Neural Networks

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Weld modeling and control using artificial neural networks

IEEE Transactions on Industry Applications ◽

10.1109/28.475745 ◽

1995 ◽

Vol 31 (6) ◽

pp. 1484-1491 ◽

Cited By ~ 61

Author(s):

G.E. Cook ◽

R.J. Barnett ◽

K. Andersen ◽

A.M. Strauss

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Modeling And Control ◽

Artificial Neural ◽

And Control

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NEO-Fuzzy Neural Networks for Knowledge Based Modeling and Control of Complex Dynamical Systems

Studies in Systems, Decision and Control - Practical Issues of Intelligent Innovations ◽

10.1007/978-3-319-78437-3_8 ◽

2018 ◽

pp. 181-214 ◽

Cited By ~ 1

Author(s):

Yancho Todorov ◽

Margarita Terziyska

Keyword(s):

Neural Networks ◽

Dynamical Systems ◽

Fuzzy Neural Networks ◽

Complex Dynamical Systems ◽

Modeling And Control ◽

Knowledge Based ◽

Fuzzy Neural ◽

And Control

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Modeling and control of a PEM fuel cell performance using Artificial Neural Networks to maximize the real time efficiency

2019 International Conference on Energy Management for Green Environment (UEMGREEN) ◽

10.1109/uemgreen46813.2019.9221428 ◽

2019 ◽

Author(s):

Sankhadeep Ghosh ◽

Avijit Routh ◽

Mehabub Rahaman ◽

Avijit Ghosh

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fuel Cell ◽

Real Time ◽

Pem Fuel Cell ◽

Cell Performance ◽

Modeling And Control ◽

The Real ◽

Fuel Cell Performance ◽

And Control

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Modeling and control of mobile robots and intelligent vehicles by neural networks

Proceedings of the Intelligent Vehicles '94 Symposium ◽

10.1109/ivs.1994.639489 ◽

2005 ◽

Cited By ~ 13

Author(s):

I. Rivals ◽

D. Canas ◽

L. Personnaz ◽

G. Dreyfus

Keyword(s):

Neural Networks ◽

Mobile Robots ◽

Intelligent Vehicles ◽

Modeling And Control ◽

And Control

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Neural networks for modeling and control of dynamic systems: a practitioner's handbook

Automatica ◽

10.1016/s0005-1098(02)00050-x ◽

2002 ◽

Vol 38 (9) ◽

pp. 1625-1626 ◽

Cited By ~ 2

Author(s):

Derong Liu

Keyword(s):

Neural Networks ◽

Dynamic Systems ◽

Modeling And Control ◽

And Control

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A greenhouse modeling and control using deep neural networks

Internal model control framework using neural networks for the modeling and control of a bioreactor

Adaptive Modeling and Control of an Upper-Limb Rehabilitation Robot Using RBF Neural Networks

Urban expressway traffic flow modeling and control using artificial neural networks

Steady-State Modeling and Control of Molecular Weight Distributions in a Styrene Polymerization Process Based on B-Spline Neural Networks

Modeling and Control of Molten Carbonate Fuel Cells Based on Feedback Neural Networks

Weld modeling and control using artificial neural networks

NEO-Fuzzy Neural Networks for Knowledge Based Modeling and Control of Complex Dynamical Systems

Modeling and control of a PEM fuel cell performance using Artificial Neural Networks to maximize the real time efficiency

Modeling and control of mobile robots and intelligent vehicles by neural networks

Neural networks for modeling and control of dynamic systems: a practitioner's handbook

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