首页|Reports Outline Machine Learning Study Results from Institute of Lightweight Eng ineering & Polymer Technology (A Methodology For Direct Parameter Identification for Experimental Results Using Machine Learning - Real World Appl ication To ...)
Reports Outline Machine Learning Study Results from Institute of Lightweight Eng ineering & Polymer Technology (A Methodology For Direct Parameter Identification for Experimental Results Using Machine Learning - Real World Appl ication To ...)
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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 Dresden, Germany, by Ne wsRx journalists, research stated, “In this work, we demonstratehow Machine lea rning (ML) techniques can be employed to externalize the knowledge and time inte nsiveprocess of material parameter identification. This is done on the example of a recent data driven materialmodel for the non-linear shear behavior of glas s fiber reinforced polypropylene (GF/PP) (Gerritzen, 2022).”
DresdenGermanyEuropeCyborgsEmerg ing TechnologiesMachine LearningInstitute of Lightweight Engineering & Polymer Technology
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