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River flow prediction using artificial neural networks: generalisation beyond the calibration range
River flow prediction using artificial neural networks: generalisation beyond the calibration range
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River flow prediction using artificial neural networks: generalisation beyond the calibration range

Imrie, C.E ; Durucan, S ; Korre, A

Journal of hydrology (Amsterdam), 2000-06, Vol.233 (1/4), p.138-153 [Periódico revisado por pares]

Amsterdam: Elsevier Science

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A neural-network approach to recognize defect spatial pattern in semiconductor fabrication
A neural-network approach to recognize defect spatial pattern in semiconductor fabrication
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A neural-network approach to recognize defect spatial pattern in semiconductor fabrication

CHEN, F.-L ; LIU, S.-F

IEEE transactions on semiconductor manufacturing, 2000-08, Vol.13 (3), p.366-373 [Periódico revisado por pares]

New York, NY: IEEE

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3
Neural networks as a tool for quality assessment of soybean and rapeseed oils analyzed by thermogravimetry
Neural networks as a tool for quality assessment of soybean and rapeseed oils analyzed by thermogravimetry
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Neural networks as a tool for quality assessment of soybean and rapeseed oils analyzed by thermogravimetry

WESOŁOWSKI, M ; SUCHACZ, B

Journal of thermal analysis and calorimetry, 2002, Vol.68 (3), p.893-899 [Periódico revisado por pares]

Dordrecht: Springer

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4
The eruptive activity of Vesuvius and its neural architecture
The eruptive activity of Vesuvius and its neural architecture
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The eruptive activity of Vesuvius and its neural architecture

De Falco, I. ; Giordano, A. ; Luongo, G. ; Mazzarella, A. ; Tarantino, E.

Journal of volcanology and geothermal research, 2002, Vol.113 (1), p.111-118 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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5
Seafloor classification using echo-waveforms: a method employing hybrid neural network architecture
Seafloor classification using echo-waveforms: a method employing hybrid neural network architecture
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Seafloor classification using echo-waveforms: a method employing hybrid neural network architecture

Chakraborty, B. ; Mahale, V. ; de Sousa, C. ; Das, P.

IEEE geoscience and remote sensing letters, 2004-07, Vol.1 (3), p.196-200 [Periódico revisado por pares]

Piscataway: IEEE

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6
Headland-bay beach planform and tidal range: A neural network model
Headland-bay beach planform and tidal range: A neural network model
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Headland-bay beach planform and tidal range: A neural network model

Iglesias, G. ; López, I. ; Carballo, R. ; Castro, A.

Geomorphology (Amsterdam, Netherlands), 2009-11, Vol.112 (1), p.135-143 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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7
Estimation of static formation temperatures in geothermal wells by using an artificial neural network approach
Estimation of static formation temperatures in geothermal wells by using an artificial neural network approach
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Estimation of static formation temperatures in geothermal wells by using an artificial neural network approach

Bassam, A. ; Santoyo, E. ; Andaverde, J. ; Hernández, J.A. ; Espinoza-Ojeda, O.M.

Computers & geosciences, 2010-09, Vol.36 (9), p.1191-1199 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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8
Performance study of the application of Artificial Neural Networks to the completion and prediction of data retrieved by underwater sensors
Performance study of the application of Artificial Neural Networks to the completion and prediction of data retrieved by underwater sensors
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Performance study of the application of Artificial Neural Networks to the completion and prediction of data retrieved by underwater sensors

Baladrón, Carlos ; Aguiar, Javier M ; Calavia, Lorena ; Carro, Belén ; Sánchez-Esguevillas, Antonio ; Hernández, Luis

Sensors (Basel, Switzerland), 2012-02, Vol.12 (2), p.1468-1481 [Periódico revisado por pares]

Switzerland: MDPI AG

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9
Neural network approach to reference evapotranspiration modeling from limited climatic data in arid regions
Neural network approach to reference evapotranspiration modeling from limited climatic data in arid regions
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Neural network approach to reference evapotranspiration modeling from limited climatic data in arid regions

Laaboudi, Abdelkader ; Mouhouche, Brahim ; Draoui, Belkacem

International journal of biometeorology, 2012-09, Vol.56 (5), p.831-841 [Periódico revisado por pares]

Berlin/Heidelberg: Springer-Verlag

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10
A Constructive Data Classification Version of the Particle Swarm Optimization Algorithm
A Constructive Data Classification Version of the Particle Swarm Optimization Algorithm
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A Constructive Data Classification Version of the Particle Swarm Optimization Algorithm

Szabo, Alexandre ; de Castro, Leandro Nunes Yao, Baozhen

Mathematical problems in engineering, 2013-01, Vol.2013, p.1-13 [Periódico revisado por pares]

New York: Hindawi Publishing Corporation

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