首页|New Machine Learning Study Findings Reported from Harbin Institute of Technology (Machine Learning Based Framework for Rapid Forecasting of the Crack Propagation)
New Machine Learning Study Findings Reported from Harbin Institute of Technology (Machine Learning Based Framework for Rapid Forecasting of the Crack Propagation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting from Harbin, People’s Republ ic of China, by NewsRx journalists, research stated, “Motivatedby avoiding the high computational cost of the phase field simulations, this paper proposes mach inelearningbased frameworks to implement the rapid forecasting of crack propag ations. Three specificframeworks, namely the framework with dimensionality redu ction and series forecasting (DS), the Autoencoderand LSTM based framework (AL ), and the U-net and LSTM based framework (UL), are proposedand examined.”
HarbinPeople’s Republic of ChinaAsiaCyborgsDimensionalityReductionEmerging TechnologiesMachine LearningHa rbin Institute of Technology
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