ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

蘋果可溶性固形物近紅外在線光譜變量優(yōu)選
CSTR:
作者:
作者單位:

作者簡介:

通訊作者:

中圖分類號(hào):

基金項(xiàng)目:

國家高技術(shù)研究發(fā)展計(jì)劃（863計(jì)劃）資助項(xiàng)目(2012AA101906),、科技部農(nóng)業(yè)科技成果轉(zhuǎn)化資金資助項(xiàng)目(2011GB2C500008) 和江西省研究生創(chuàng)新基金資助項(xiàng)目(YC2012-S079)


Selection of NIR Variables for Online Detecting Soluble Solids Content of Apple
Author:
Affiliation:

Fund Project:

  • 摘要
    • |
  • 圖/表
    • |
  • 訪問統(tǒng)計(jì)
    • |
  • 參考文獻(xiàn)
    • |
  • 相似文獻(xiàn)
    • |
  • 引證文獻(xiàn)
    • |
  • 資源附件
    • |
  • 文章評論
    摘要:

    為簡化近紅外光譜模型,，提高對蘋果可溶性固形物含量的預(yù)測精度,，將移動(dòng)窗口偏最小二乘法（MWPLS）與遺傳算法、連續(xù)投影算法相結(jié)合優(yōu)選特征變量,，建立偏最小二乘回歸校正模型,。其中移動(dòng)窗口偏最小二乘法和遺傳算法相結(jié)合優(yōu)選的36個(gè)光譜變量建立的校正模型預(yù)測結(jié)果最好，可以有效篩選近紅外光譜特征波長,，模型預(yù)測相關(guān)系數(shù)為0.90,，模型的預(yù)測均方根誤差為0.70°Brix。

    Abstract:

    In order to improve the accuracy of online detecting soluble solids content (SSC) of apples by the method of near infrared spectroscopy, the combination of moving window partial least squares (MWPLS) and genetic algorithm (GA), successive projections algorithm (SPA) was used to select the characteristic variables, and then the partial least squares regression model was developed. The MW-GA model with the 36 selected characteristic variables obtained the best result with correlation coefficient of prediction (Rp) of 0.90 and root mean square error of prediction (RMSEP) of 0.70°Brix, which indicated that the combination of MWPLS and GA could select the characteristic variables of near infrared spectroscopy effectively.

    參考文獻(xiàn)
    相似文獻(xiàn)
    引證文獻(xiàn)
引用本文

歐陽愛國,謝小強(qiáng),劉燕德.蘋果可溶性固形物近紅外在線光譜變量優(yōu)選[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2014,45(4):220-225. Ouyang Aiguo, Xie Xiaoqiang, Liu Yande. Selection of NIR Variables for Online Detecting Soluble Solids Content of Apple[J]. Transactions of the Chinese Society for Agricultural Machinery,2014,45(4):220-225.

復(fù)制
分享
文章指標(biāo)
  • 點(diǎn)擊次數(shù):
  • 下載次數(shù):
  • HTML閱讀次數(shù):
  • 引用次數(shù):
歷史
  • 收稿日期:2013-05-05
  • 最后修改日期:
  • 錄用日期:
  • 在線發(fā)布日期: 2014-04-10
  • 出版日期: 2014-04-10
文章二維碼