首页|Findings from Dalian University of Technology Yields New Data on Machine Learning (A Machine Learning Based Acceleration of Segregated Pressure Correction Algorithms for Incompressible Fluid Flow)
Findings from Dalian University of Technology Yields New Data on Machine Learning (A Machine Learning Based Acceleration of Segregated Pressure Correction Algorithms for Incompressible Fluid Flow)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Elsevier
Fresh data on Machine Learning are presented in a new report. According to news reporting from Dalian, People’s Republic of China, by NewsRx journalists, research stated, “Segregated pressure correction algorithms are widely used in the simulation of steady-state incompressible fluid flow. However, these traditional solution algorithms usually require high computational resources for design optimization problems.”
DalianPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine LearningDalian University of Technology
NETL
NSTL
Elsevier
