首页|Study Data from Taiyuan University of Science & Technology Update Knowledge of Machine Learning (Performance Prediction of 304 L Stainless Steel B ased On Machine Learning)
Study Data from Taiyuan University of Science & Technology Update Knowledge of Machine Learning (Performance Prediction of 304 L Stainless Steel B ased On Machine Learning)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reportingoriginating from Taiyuan, People’s Repub lic of China, by NewsRx correspondents, research stated, “Withthe development o f testing technology and data mining methodologies, machine learning (ML) has be enwidely applied for predicting the performance of materials in various systems including stainless steel withimproved performance. To address the limitations of traditional experimental and statistical methods inpredicting the thermal d eformation of materials, a predictive machine learning model was developed basedon the data obtained from thermal simulation compression tests.”
TaiyuanPeople’s Republic of ChinaAsi aAlgorithmsCyborgsEmerging TechnologiesMachine LearningStainless SteelTaiyuan University of Science & Technology
NETL
NSTL
