首页|Recent Findings from Dongguan University of Technology Has Provided New Informat ion about Machine Learning (Rapid and Accurate Identification of Steel Alloys By Femtosecond Laser-ablation Spark-induced Breakdown Spectroscopy and Machine Lea rning)
Recent Findings from Dongguan University of Technology Has Provided New Informat ion about Machine Learning (Rapid and Accurate Identification of Steel Alloys By Femtosecond Laser-ablation Spark-induced Breakdown Spectroscopy and Machine Lea rning)
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
Researchers detail new data in Machine Learning. According to news originating from Dongguan, People's Republic of Chi na, by NewsRx correspondents, research stated, "This work investigates the appli cation of femtosecond laser-ablation spark-induced breakdown spectroscopy (fsLASIBS) combined with machine learning algorithms for the rapid and accurate ident ification of steel alloys. Three algorithms, namely random forest (RF), support vector machine (SVM), and partial least squares identification analysis (PLS-DA) , were compared and evaluated." Funders for this research include National Natural Science Foundation of China ( NSFC), Guangdong Basic and Applied Basic Research Foundation, Dongguan Science a nd Technology of Social Development Program, Dongguan University of Technology.
DongguanPeople's Republic of ChinaAs iaAlloysCyborgsEmerging TechnologiesMachine LearningSupport Vector Mac hinesDongguan University of Technology
NETL
NSTL
