首页|Studies from National Institute of Technology Yield New Information about Machine Learning (Live-bed Scour Depth Modelling Around the Bridge Pier Using Ann-pso, Anfis, Mars, and M5tree)
Studies from National Institute of Technology Yield New Information about Machine Learning (Live-bed Scour Depth Modelling Around the Bridge Pier Using Ann-pso, Anfis, Mars, and M5tree)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting out of Patna, India, by NewsRx editors, research stated, “In the present research, an attempt is made to use four machine learning technique techniques such as artificial neural network combined with particle swarm optimization (ANN-PSO), adaptive neuro-fuzzy inference system (AN FIS), multivariate adaptive regression splines (MARS), and M5Tree machine learning (ML) approaches to model the scour depth. A total of 534 live bed scouring (L BS) experimental and field datasets are collected for bridge pier scouring from the previously published literature, and a gamma test has been performed to identify the best input parameter combination.”
PatnaIndiaAsiaCyborgsEmerging TechnologiesMachine LearningNational Institute of Technology
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