Art

J-GLOBAL ID：200902234262303490   Reference number：09A0134761

Neural-Net Based Modeling of Velocity and Concentration Fields

速度及び濃度場の神経回路網基盤型モデリング

Author (4)： KIMURA I. (Osaka Electro-Communication Univ., Osaka, JPN) ,  YOKE A. (Osaka Electro-Communication Univ., Osaka, JPN) ,  KAGA A. (Osaka Univ., Osaka, JPN) ,  KUROE Y. (Kyoto Inst. Technol., Kyoto, JPN)
Material： Journal of Visualization  (J Vis)
Volume： 12  Issue： 1  Page： 73-80  Publication year： Jan. 2009 
JST Material Number： L3794A  ISSN： 1343-8875  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *velocity distribution ,  *concentration distribution ,  *neural network (biomodel) ,  modeling ,  flow velocity ,  vector (mathematics) ,  algorithm ,  Diffusion ,  approximation method ,  mathematical model ,  Air ,  cleaning (purification) ,  cleanliness ,  pollutant ,  Bacteria ,  recognition ,  *neural network model ,  microorganism

JST classification (1)： Non-homogeneous flows  (BC02060J)

Reference (8)：

• DICKERSON, M H. MASCON-A Mass Consistent Atmospheric Flux Model for Regions with Complex Terrain. Journal of Applied Meteorology. 1978, 17, 3, 241-253
• FUJISAWA, N. Visualization of Turbulence Structure in Unsteady Non-Penetrative Thermal Convection Using Liquid Crystal Thermometry and Stereo Velocimetry. Journal of Visualization. 2008, 11, 2, 173-180
• KIMURA, I. Estimation of Three-Dimensional Velocity Vector Fields Using Neural Networks. Proc. of the Millennium 9th International Symposium on Flow Visualization, 2000. 2000
• KIMURA, I. Neural Net-Based Reconstruction of 3-D Velocity Vector Fields from Deficient Measured Data. Proc. of the 3rd Pacific Symposium on Flow Visualization and Image Processing (PSFVIP-3), 2001. 2001
• KUROE, Y. A Learning Method for Vector Field Approximation by Neural Networks. Proc. of 1998 IEEE International Joint Conference on Neural Networks (IJCNN'98). 1998

Terms in the title (3)： 神経回路網 ,  基盤 ,  モデリング