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    Publisher: Asian Network for Scientific Information
   
  Journal of Applied Sciences seeks to promote and disseminate the knowledge by publishing original research findings, review articles and short communications in the broad field of applied sciences. Scope of the journal includes: Biology, chemistry, physics, environmental, business and economics, finance, mathematics and statistics, geology, engineering, computer science, social sciences, natural and technological sciences, linguistics, medicine and architecture, food science, environmental science, agricultural engineering. Journal of Applied Sciences now accepting new submissions. Submit your best paper via online submission system.
  Editor-in-Chief:  Gazi Mahabubul Alam
 
 
Aksoy, H., A. Guven, A. Aytek, M.I. Yuce and N.E. Unal, 2007. Discussion on generalized regression neural networks for evapotranspiration modelling by O. Kisi. Hydrological Sci. J., 52: 825-831.
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Aksoy, H., A. Guven, A. Aytek, M.I. Yuce and N.E. Unal, 2008. Comment on 'Kisi O. 2007. Evapotranspiration modelling from climatic data using a neural computing technique. Hydrological Proc., 21: 1925-1934.
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Aytek, A., A. Guven, M. Ishak Yuce and H. Aksoy, 2008. An explicit neural network formulation for evapotranspiration. Hydrological Sci. J., 53: 893-904.
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Gunal, M. and A. Guven, 2006. Prediction of flow patterns in scoured zone. Can. J. Civil Eng., 33: 31-48.
Guven, A. and M. Gunal, 2008. Genetic programming approach for prediction of local scour downstream hydraulic structures. J. Irrig. Drainage Eng. ASCE, 134: 241-249.
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Guven, A. and M. Gunal, 2008. Prediction of scour downstream of grade-control structures using neural networks. J. Hydraulic Eng., 134: 1656-1660.
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Guven, A., A. Aytek, M.I. Yuce and H. Aksoy, 2008. Genetic programming-based empirical model for daily reference evapotranspiration estimation. Clean-Soil Air Water, 36: 905-912.
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Guven, A., M. Gunal and A. Cevik, 2006. Prediction of pressure fluctuations on sloping stilling basins. Can. J. Civil Eng., 33: 1379-1388.
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Nazım Ciftci, O., S. Fadıloğlu, F. Gogus and A. Guven, 2008. Prediction of a model enzymatic acidolysis system using neural networks. Grasas y Aceites, 59: 375-382.
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