基于注意力機(jī)制與遷移學(xué)習(xí)的改進(jìn)ResNet18模型在木材近紅外光譜分類(lèi)中的應(yīng)用

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中圖分類(lèi)號(hào)：S781.7 文獻(xiàn)標(biāo)志碼：A 文章編號(hào)：2095-2945(2025)14-0076-04

Abstract:Thedevelopmentofwoodmodificationtechnologyhasmadewoodclasificationakeyproblem，andthedata processngofnear-infraredspectroscopytechnologischalenging.Inthispper,animprovedResNet18modelbasedonaention mechanismandtransferlearningisproposedfornear-infraredspectralclassficationofwoodBasedonResNet18,combinedwith theattentionmechanism，theimportantbandsarefocused，andtransferlearningisusedtoimprovetheeficiencyand generalizationability.Experimentsshowthatthemodelhasexcelentperformanceintrainingtimeandaccuracytheaention mechanismcanimprove theacuracy，andtransfer learning cansolvetheproblem ofsmallsamples,whichprovidesaneffective method for wood spectral analysis,and can be further optimized and expanded in the future.

Keywords: near-infraredspectroscopy;ResNet18 model;atentionmechanism;transfer learning;woodclassificatior

木材是重要自然資源，在多行業(yè)廣泛應(yīng)用，其特性使其用于高附加值產(chǎn)品制造。（剩余5726字）