首页|Study Findings from HESAM University Broaden Understanding of Machine Learning ( Study of composite polymer degradation for high pressure hydrogen vessel by mach ine learning approach)
Study Findings from HESAM University Broaden Understanding of Machine Learning ( Study of composite polymer degradation for high pressure hydrogen vessel by mach ine learning approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on artificial intelligenc e is the subject of a new report. According to news reporting originating from H ESAM University by NewsRx correspondents, research stated, "The aim of this arti cle is to study the degradation of a composite material under static pressure." Our news editors obtained a quote from the research from HESAM University: "The high pressure condition is similar to the one encountered inside hydrogen tanks. Damage modeling was used to evaluate the behavior of hydrogen tanks to high pre ssure. A practical approach, coupling a finite element method (FEM) simulation a nd machine learning (ML) algorithm, is suggested. The representative volume elem ent (RVE) was used in association with a choice of a behavior law and a damage l aw as an input data. Algorithms for ML classification such as K-nearest neighbor s (k-NN) and a special k-NN with a dynamic time warping metric were used."
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