首页|Henan Polytechnic University Researcher Targets Support Vector Machines (Multi-I ndex Fusion Debris Flow Early Warning Model Based on Spatial Interpolation and S upport Vector Machine)
Henan Polytechnic University Researcher Targets Support Vector Machines (Multi-I ndex Fusion Debris Flow Early Warning Model Based on Spatial Interpolation and S upport Vector Machine)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on is the subject of a ne w report. According to news reporting from Jiaozuo, People’s Republic of China, by NewsRx journalists, research stated, “Debris flow early warning is an effecti ve method to prevent major disasters, so a multi-index fusion debris flow early warning model based on spatial interpolation and a support vector machine is des igned.” The news editors obtained a quote from the research from Henan Polytechnic Unive rsity: “Aiming at the discrete rainfall data in the study area, the collaborativ e Kriging spatial interpolation method based on Kriging spatial interpolation is adopted to process the rainfall data into multi-index fused surface data. The r ainfall data after spatial interpolation are used as the input sample data of th e support vector machine early warning model, and the optimal parameters of the support vector machine are calculated by the sea squirt algorithm, and then the debris flow early warning results are output.”
Henan Polytechnic UniversityJiaozuoP eople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningSuppor t Vector MachinesVector Machines
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