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- W2387187860 abstract "Partial least squares regression(PLS)is a powerful modeling tool.The selection of PLS's component number is directly related to the actual predictive ability of the model.Without a universally accepted standard,there are several common methods in practical application.A quantitative model about total sugar index is established,by setting tobacco as the research object,using leave-one-out cross validation method.The component number's influence on the stability of quantitative model is mainly studied in article.The existing method is improved,and comparing with two methods that currently used in the model performance and the stability of forecast.The result show that the improved method can not only reduce the complexity of the model but also increase the accuracy of the model." @default.
- W2387187860 created "2016-06-24" @default.
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- W2387187860 date "2014-01-01" @default.
- W2387187860 modified "2023-09-26" @default.
- W2387187860 title "Analysis of PLS component number on impact of stability of quantitative model" @default.
- W2387187860 hasPublicationYear "2014" @default.
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