multivariate calibration 中文意思是什麼

multivariate calibration 解釋
多變數校正
  1. For a set of gasoline samples, multivariate linear regression ( mlr ) and partial least squares ( pls ) calibration models are built to predict research octane number ( ron )

    針對一批實際生產裝置的汽油樣品，採用近紅外光譜定量分析中常用的多元線性回歸（ mlr ）與偏最小二乘（ pls ）方法，建立了汽油研究法辛烷值nir光譜預測模型。
  2. Abstract ： the applications of chemometric approaches, such as opt imization, multivariate calibration, artificial neural network, signal processin g, resolution, parameter estimation etc., in capillary electrophoresis have bee n reviewed

    摘要：綜述了最優化方法、多元校正方法、人工神經網路、曲線分辨、信號處理等化學計量學方法在毛細管電泳分離分析中的應用，展望了化學計量學在毛細管電泳中的應用前景。
  3. It includes symposia, monographs and reviews, statistics, optimal design of experiments and optimization methods, analytical signal processing, multivariate calibration, chemical pattern recognition, qsar, library searching and expert systems, chemometric education, with 168 references cited

    內容涉及統計學與統計方法、試驗設計與優化、分析信號處理、多元校正、化學模式識別、定量構效關系（ qsar ） 、數據庫及專家系統、化學計量學教學等方面，共引用文獻168篇。
  4. The application of near - infrared ( nir ) spectroscopy for estimating the various properties in samples has become widespread with the use of multivariate calibration

    近紅外技術結合多元回歸方法已經廣泛應用於許多行業的物質相關成分含量的測定。
  5. Graphically - oriented local multivariate calibration modeling procedures called interval partial least - squares ( ipls ) was applied to select the efficient spectral regions that provided the lowest prediction error

    本研究提出一種間隔偏最小二乘法的農產品近紅外光譜譜區選擇方法，並將其應用於建立蘋果糖度近紅外光譜模型。
  6. The selection principle of optimal pathlength in multivariate calibration is proposed and established

    首次提出並建立了多變量光譜分析中最佳光程長的選擇原理。
  7. The influence of pathlength selection on prediction accuracy of univariate calibration and multivariate calibration is investigated

    研究了光程長的選擇對于單變量光譜分析和多變量光譜分析的測量精度的影響。
  8. In the dissertation, an in - depth study is carried out by the author by synthesizing multi - disciplinary knowledge on the following topics : the abstraction of weak spectral signal, the optimal pathlength measurement condition, the optimization of regression method, the enhancement of multivariate calibration model robustness and the physical explanation of measurement results are studied

    本論文綜合多學科的知識深入研究了從重疊復雜的光譜中提取微弱的化學成份信息的方法，最佳測量條件的設計，建模方法的優化，校正模型穩健性的提高以及測量結果的物理解釋等關鍵技術基礎問題。
  9. An algorithm for constructing adaptive wavelet filters was proposed, and applied to multivariate calibration of the near infrared ( nir ) spectra

    摘要實現了一種構建自適應小波濾波器的方法，並將其用於近紅外光譜數據的多元校正。
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