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Refinado por: Base de dados/Biblioteca: ASFA: Aquatic Sciences and Fisheries Abstracts remover Nome da Publicação: Neural Computing & Applications remover
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1
Animal migration optimization: an optimization algorithm inspired by animal migration behavior
Animal migration optimization: an optimization algorithm inspired by animal migration behavior
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Animal migration optimization: an optimization algorithm inspired by animal migration behavior

Li, Xiangtao ; Zhang, Jie ; Yin, Minghao

Neural computing & applications, 2014-06, Vol.24 (7-8), p.1867-1877 [Periódico revisado por pares]

London: Springer London

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2
A hybrid SVM-PSO model for forecasting monthly streamflow
A hybrid SVM-PSO model for forecasting monthly streamflow
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A hybrid SVM-PSO model for forecasting monthly streamflow

Sudheer, Ch ; Maheswaran, R. ; Panigrahi, B. K. ; Mathur, Shashi

Neural computing & applications, 2014-05, Vol.24 (6), p.1381-1389 [Periódico revisado por pares]

London: Springer London

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3
Application of artificial neural networks for water quality prediction
Application of artificial neural networks for water quality prediction
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Application of artificial neural networks for water quality prediction

Najah, A. ; El-Shafie, A. ; Karim, O. A. ; El-Shafie, Amr H.

Neural computing & applications, 2013-05, Vol.22 (Suppl 1), p.187-201 [Periódico revisado por pares]

London: Springer-Verlag

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4
Water quality prediction model utilizing integrated wavelet-ANFIS model with cross-validation
Water quality prediction model utilizing integrated wavelet-ANFIS model with cross-validation
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Water quality prediction model utilizing integrated wavelet-ANFIS model with cross-validation

Najah, Ali A. ; El-Shafie, A. ; Karim, O. A. ; Jaafar, O.

Neural computing & applications, 2012-07, Vol.21 (5), p.833-841 [Periódico revisado por pares]

London: Springer-Verlag

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5
Assessment of M5′ model tree and classification and regression trees for prediction of scour depth below free overfall spillways
Assessment of M5′ model tree and classification and regression trees for prediction of scour depth below free overfall spillways
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Assessment of M5′ model tree and classification and regression trees for prediction of scour depth below free overfall spillways

Samadi, Mehrshad ; Jabbari, Ebrahim ; Azamathulla, H. Md

Neural computing & applications, 2014-02, Vol.24 (2), p.357-366 [Periódico revisado por pares]

London: Springer London

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6
Coordinated formation pattern control of multiple marine surface vehicles with model uncertainty and time-varying ocean currents
Coordinated formation pattern control of multiple marine surface vehicles with model uncertainty and time-varying ocean currents
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Coordinated formation pattern control of multiple marine surface vehicles with model uncertainty and time-varying ocean currents

Peng, Zhouhua ; Wang, Dan ; Wang, Hao ; Wang, Wei

Neural computing & applications, 2014-12, Vol.25 (7-8), p.1771-1783 [Periódico revisado por pares]

London: Springer London

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7
Prediction of suspended sediment concentration from water quality variables
Prediction of suspended sediment concentration from water quality variables
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Prediction of suspended sediment concentration from water quality variables

Bayram, Adem ; Kankal, Murat ; Tayfur, Gökmen ; Önsoy, Hızır

Neural computing & applications, 2014-04, Vol.24 (5), p.1079-1087 [Periódico revisado por pares]

London: Springer London

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8
Multilayer perceptron with different training algorithms for streamflow forecasting
Multilayer perceptron with different training algorithms for streamflow forecasting
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Multilayer perceptron with different training algorithms for streamflow forecasting

Hosseinzadeh Talaee, P.

Neural computing & applications, 2014-03, Vol.24 (3-4), p.695-703 [Periódico revisado por pares]

London: Springer London

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9
Soft computing for prediction of river pipeline scour depth
Soft computing for prediction of river pipeline scour depth
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Soft computing for prediction of river pipeline scour depth

Azamathulla, Hazi Mohammad ; Mohd. Yusoff, Mohd. Azlan

Neural computing & applications, 2013-12, Vol.23 (7-8), p.2465-2469 [Periódico revisado por pares]

London: Springer London

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10
Data validation and missing data reconstruction using self-organizing map for water treatment
Data validation and missing data reconstruction using self-organizing map for water treatment
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Data validation and missing data reconstruction using self-organizing map for water treatment

Lamrini, B. ; Lakhal, El-K. ; Le Lann, M-V. ; Wehenkel, L.

Neural computing & applications, 2011-06, Vol.20 (4), p.575-588 [Periódico revisado por pares]

London: Springer-Verlag

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