Development of artificial neural network and its application in multivariate calibration 人工神經(jīng)網(wǎng)絡(luò)的發(fā)展及在多元校正中的應(yīng)用
Rapid determination of ethanol in wine by near - infrared spectroscopy combined with multivariate calibration 近紅外光譜法結(jié)合多變量校正技術(shù)快速分析酒中乙醇含量
An algorithm for constructing adaptive wavelet filters was proposed , and applied to multivariate calibration of the near infrared ( nir ) spectra 摘要實(shí)現(xiàn)了一種構(gòu)建自適應(yīng)小波濾波器的方法,并將其用于近紅外光譜數(shù)據(jù)的多元校正。
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(shù)結(jié)合多元回歸方法已經(jīng)廣泛應(yīng)用于許多行業(yè)的物質(zhì)相關(guān)成分含量的測(cè)定。
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(nóng)產(chǎn)品近紅外光譜譜區(qū)選擇方法,并將其應(yīng)用于建立蘋果糖度近紅外光譜模型。
The analysis of meaning for the principle components in multivariate calibration should combine with the professional knowledge about measuring sample . the analysis method is not completely fixed and specific for the different measurement object 指出多變量校正模型的主成分與多種因素有關(guān),其表征的意義需要根據(jù)專業(yè)知識(shí)對(duì)具體問題做具體分析,而不存在完全固定的判斷規(guī)則。
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(yōu)化方法、多元校正方法、人工神經(jīng)網(wǎng)絡(luò)、曲線分辨、信號(hào)處理等化學(xué)計(jì)量學(xué)方法在毛細(xì)管電泳分離分析中的應(yīng)用,展望了化學(xué)計(jì)量學(xué)在毛細(xì)管電泳中的應(yīng)用前景。
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(nèi)容涉及統(tǒng)計(jì)學(xué)與統(tǒng)計(jì)方法、試驗(yàn)設(shè)計(jì)與優(yōu)化、分析信號(hào)處理、多元校正、化學(xué)模式識(shí)別、定量構(gòu)效關(guān)系( qsar ) 、數(shù)據(jù)庫(kù)及專家系統(tǒng)、化學(xué)計(jì)量學(xué)教學(xué)等方面,共引用文獻(xiàn)168篇。