產品廠商新聞方案技術培訓下載招聘品牌展會視頻媒體國防軍民融合

  •  
     

    不同光照下的近紅外光譜模型傳遞研究

    2016-03-03 中國測試張文君, 唐 紅, 蔣巧勇
    摘  要:針對室外光照對近紅外光譜檢測帶來誤差的問題,提出基于模型傳遞來減少檢測誤差的方法。以圓黃梨為樣品,分析樣品在室內、室外陰影下的近紅外光譜,建立室內光譜的偏最小二乘(PLS)模型。采用直接校正(direct standardization,DS)算法,減小室內外光譜差距,使得室內PLS模型能預測室外光譜。結果表明:在室內建立的模型能預測經DS算法傳遞后的室外光譜,預測決定系數(r2p)和預測均方根誤差(root mean square error of prediction,RMSEP)分別為0.71和0.374,能有效解決室外光照對光譜檢測的影響。
    關鍵詞:近紅外光譜;直接校正;光照影響;模型傳遞;糖度
    文獻標志碼:A       文章編號:1674-5124(2015)12-0070-04
    Research on model transfer of near infrared spectroscopy at different illumination
    ZHANG Wenjun, TANG Hong, JIANG Qiaoyong
    (College of Metrological Technology and Engineering,China Jiliang University,Hangzhou 310018,China)
    Abstract: To minimize the error in sample detection by near infrared spectrometers outdoor, a method using model transfer to lower the measurement error has been proposed in this paper. The near infrared spectroscopy (NIRS) was used to detect the sample-Wonhuwang pear under outdoor and indoor shadows and the results were analyzed to establish a Partial Least Squares (PLS) model for indoor spectrum. The detection errors between the near infrared spectrums under indoor and outdoor shadows were reduced through Direct Standardization (DS) algorithm to enable the model to predict the near infrared spectrum outdoor. Experimental results show the determination coefficient and root mean square error of prediction are 0.71 and 0.374 respectively. It can lower the effect of outdoor light on spectrum detection.
    Keywords: NIRS; DS; illumination; model transfer; sugar
    分享到:
     
     
     
     
    熱門產品
     
    推薦廠商
     
    關于我們 | 聯系我們 | 廣告服務 | 版權隱私 | 積分換禮 | 友情鏈接 | 站點導航 | 違規舉報
     
    拉斯维加斯赌场哪个好 湖南幸运赛车开奖直播 金彩手机版11选5缩水神器 河北快三中奖多少钱 今天的上证指数 股票涨跌咋看 福彩排列七玩法说明 五分彩规则 期货配资平台先选金多多联系 北京十一选五最大遗漏 3d试机号今天晚上金码 福建体育彩票31选7走势图 辽宁快乐十一选五走势手机版 一分11选5技巧 11月股票推荐 江西快三开奖号码 新三板股票查询系统