TY - CHAP A1 - Sergey Valyuhov A2 - Alexander Kretinin A3 - Alexander Burakov ED1 - Harry Edmar Schulz ED2 - André Luiz Andrade Simões ED3 - Raquel Jahara Lobosco Y1 - 2011-10-26 PY - 2011 T1 - Neural Network Modeling of Hydrodynamics Processes N2 - The constant evolution of the calculation capacity of the modern computers implies in a permanent effort to adjust the existing numerical codes, or to create new codes following new points of view, aiming to adequately simulate fluid flows and the related transport of physical properties. Additionally, the continuous improving of laboratory devices and equipment, which allow to record and measure fluid flows with a higher degree of details, induces to elaborate specific experiments, in order to shed light in unsolved aspects of the phenomena related to these flows. This volume presents conclusions about different aspects of calculated and observed flows, discussing the tools used in the analyses. It contains eighteen chapters, organized in four sections: 1) Smoothed Spheres, 2) Models and Codes in Fluid Dynamics, 3) Complex Hydraulic Engineering Applications, 4) Hydrodynamics and Heat/Mass Transfer. The chapters present results directed to the optimization of the methods and tools of Hydrodynamics. BT - Hydrodynamics SP - Ch. 10 UR - https://doi.org/10.5772/26893 DO - 10.5772/26893 SN - PB - IntechOpen CY - Rijeka Y2 - 2021-03-01 ER -