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Extreme learning machine based wind speed estimation and sensorless control for wind turbine power generation system
Extreme learning machine based wind speed estimation and sensorless control for wind turbine power generation system
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Extreme learning machine based wind speed estimation and sensorless control for wind turbine power generation system

Wu, Si ; Wang, Youyi ; Cheng, Shijie

Neurocomputing (Amsterdam), 2013-02, Vol.102, p.163-175 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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2
Wind energy prediction and monitoring with neural computation
Wind energy prediction and monitoring with neural computation
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Wind energy prediction and monitoring with neural computation

Kramer, Oliver ; Gieseke, Fabian ; Satzger, Benjamin

Neurocomputing (Amsterdam), 2013-06, Vol.109, p.84-93 [Periódico revisado por pares]

Elsevier B.V

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3
Model of turbine optimal initial pressure under off-design operation based on SVR and GA
Model of turbine optimal initial pressure under off-design operation based on SVR and GA
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Model of turbine optimal initial pressure under off-design operation based on SVR and GA

Niu, Peifeng ; Zhang, Weiping

Neurocomputing (Amsterdam), 2012-02, Vol.78 (1), p.64-71 [Periódico revisado por pares]

Elsevier B.V

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4
Electric utility coal quality analysis using artificial neural network techniques
Electric utility coal quality analysis using artificial neural network techniques
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Electric utility coal quality analysis using artificial neural network techniques

Salehfar, H ; Benson, S.A

Neurocomputing (Amsterdam), 1998-12, Vol.23 (1), p.195-206 [Periódico revisado por pares]

Elsevier B.V

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5
Modeling nuclear reactor core dynamics with recurrent neural networks
Modeling nuclear reactor core dynamics with recurrent neural networks
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Modeling nuclear reactor core dynamics with recurrent neural networks

Adali, Tülay ; Bakal, Bora ; Sönmez, M.Kemal ; Fakory, Reza ; Tsaoi, C.Oliver

Neurocomputing (Amsterdam), 1997-06, Vol.15 (3), p.363-381 [Periódico revisado por pares]

Elsevier B.V

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6
A systematic method for rational definition of plant diagnostic symptoms by self-organizing neural networks
A systematic method for rational definition of plant diagnostic symptoms by self-organizing neural networks
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A systematic method for rational definition of plant diagnostic symptoms by self-organizing neural networks

Furukawa, Hiroshi ; Ueda, Tohru ; Kitamura, Masaharu

Neurocomputing (Amsterdam), 1996, Vol.13 (2), p.171-183 [Periódico revisado por pares]

Elsevier B.V

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