首页|Warsaw University of Life Sciences Reports Findings in Machine Learning (Tool fo r fast assessment of stormwater flood volumes for urban catchment: A machine lea rning approach)
Warsaw University of Life Sciences Reports Findings in Machine Learning (Tool fo r fast assessment of stormwater flood volumes for urban catchment: A machine lea rning approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Warsaw, Poland, by New sRx editors, research stated, “Specific flood volume is an important criterion f or evaluating the performance of sewer networks. Currently, mechanistic models - MCMs (e.g., SWMM) are usually used for its prediction, but they require the col lection of detailed information about the characteristics of the catchment and s ewer network, which can be difficult to obtain, and the process of model calibra tion is a complex task.”
WarsawPolandEuropeCyborgsEmergin g TechnologiesMachine Learning
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