將行星數(shù)據(jù)分析融入機(jī)器學(xué)習(xí)教學(xué)：理論與實(shí)踐

打開文本圖片集

中圖分類號(hào)：G642 文獻(xiàn)標(biāo)志碼：A 文章編號(hào)：2096-000X（2025）13-0005-04

Abstract：ThisresearchdelvesintotheteachingmethodologyofincorporatingMarsLIBSdatafromplanetarydataand projectsrelatedtoplanetaryremotesensingcrateridentificationintothecuriculum.Bydesigningacomprehensiveteachingplan thatintegratesdataprocesingfromactualplanetaryscienceresearchandmachinelearningtechniques，theaimistofaciliate students'learningandaplicationintheinterdisciplinaryfieldofscienceandtechnology.Thispaperalsoprovidesdetailed explanationsofcurrculumcontentesign，teachingmethods，teachingefectiveness，andassessmntalongwithananalysisnd summary of two typical cases during the implementation of this interdisciplinary education approach.

Keywords： Machine Learning; Planetary Data; Laser-Induced Breakdown Spectroscopy;remote sensing; impactcrater

隨著科學(xué)技術(shù)的不斷進(jìn)步，行星科學(xué)研究領(lǐng)域正在經(jīng)歷著一場(chǎng)革命。（剩余5640字）