首页|New Computational Intelligence Study Results Reported from University of Connect icut (Gleeble-based Johnson-cook Parametric Identification of Aisi 9310 Steel Em powered By Computational Intelligence)
New Computational Intelligence Study Results Reported from University of Connect icut (Gleeble-based Johnson-cook Parametric Identification of Aisi 9310 Steel Em powered By Computational Intelligence)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Computational Intelli gence have been presented. According tonews reporting out of Storrs, Connecticu t, by NewsRx editors, research stated, “This research aims toestablish a system atic framework for parametric identification of materials undergoing high temper aturesand high strain rates. While advanced testing equipment, such as the Glee ble physical simulator, canproduce controlled measurements of specimens under v arious conditions, significant challenges remain indetermining the parameters o f constitutive relations.”
StorrsConnecticutUnited StatesNort h and Central AmericaComputational IntelligenceEmerging TechnologiesGaussi an ProcessesMachine LearningUniversity of Connecticut
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