首页|Report Summarizes Support Vector Machines Study Findings from Tianjin University (An Improved Method for Sand Wave Morphology Discrimination In Rivers By Combin ing a Flow Resistance Law and Support Vector Machines)
Report Summarizes Support Vector Machines Study Findings from Tianjin University (An Improved Method for Sand Wave Morphology Discrimination In Rivers By Combin ing a Flow Resistance Law and Support Vector Machines)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Support Vector Machines are presented in a new report. According to news reporting from Tianjin, People’ s Republic of China, by NewsRx journalists, research stated, “A parameterized ex pression for sand wave morphology in rivers is established using a flow resistan ce law while accounting for sediment incipient velocity. A distinct relation is drawn between the proposed characteristic parameters and the sand wave morpholog y based on flume data.”
TianjinPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningSupport Vector MachinesVector Mach inesTianjin University
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