本文選題：光譜學(xué)　切入點(diǎn)：模型　出處：《農(nóng)業(yè)工程學(xué)報(bào)》2017年09期 　論文類型：期刊論文

【摘要】：結(jié)合太赫茲時(shí)域光譜技術(shù)和支持向量機(jī)對(duì)3種典型產(chǎn)地的咖啡豆進(jìn)行了鑒別。選取埃塞俄比亞(Ethiopia)、哥斯達(dá)黎加(Costa Rica)以及印度尼西亞(Indonesia)3個(gè)產(chǎn)地咖啡豆樣品進(jìn)行壓片處理,采用太赫茲透射模式獲取樣品的時(shí)域和頻域光譜信號(hào),并用主成分分析法對(duì)太赫茲頻域光譜信號(hào)進(jìn)行分析;構(gòu)造了基于粒子群(partical swarm optimization,PSO)參數(shù)尋優(yōu)的支持向量機(jī)(support vector machine,SVM)鑒別模型,模型對(duì)不同產(chǎn)地咖啡豆樣品的綜合識(shí)別正確率達(dá)到95%。試驗(yàn)結(jié)果表明,太赫茲作為新型的檢測(cè)手段結(jié)合模式識(shí)別方法可用于咖啡豆的產(chǎn)地鑒別。該文為一類在太赫茲波段下沒有明顯特征吸收峰的農(nóng)產(chǎn)品/食品安全檢測(cè)和產(chǎn)地追溯研究提供了一種快速、準(zhǔn)確的方法。
[Abstract]:In combination with terahertz time-domain spectroscopy (THz) and support vector machine (SVM), the coffee beans from three typical areas were identified. The samples from Ethiopia (Ethiopia), Costa Rica (Costa Costa) and Indonesia (Indonesia) were treated by pressing. The time-domain and frequency-domain spectral signals of samples were obtained by terahertz transmission mode, and the spectral signals of terahertz frequency-domain were analyzed by principal component analysis (PCA). A support vector machine (SVM) discriminant model based on particle swarm optimization (PSO) parameters optimization was constructed. The comprehensive recognition accuracy of the model for coffee bean samples from different areas is 95%. The experimental results show that, Terahertz as a new detection method combined with pattern recognition can be used to identify the origin of coffee beans. This paper is a kind of agricultural products / food safety detection and origin traceability research without obvious absorption peak in terahertz band. The research provides a kind of rapidity, An accurate method.
【作者單位】： 合肥工業(yè)大學(xué)計(jì)算機(jī)與信息學(xué)院;合肥學(xué)院機(jī)器視覺與智能控制實(shí)驗(yàn)室;合肥工業(yè)大學(xué)食品科學(xué)與工程學(xué)院;
【基金】：國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2016YFD0401104)
【分類號(hào)】：S571.2;TP18

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