Application of multivariate regression and artificial neural network modelling for prediction of physical and chemical properties of medicinal plants aqueous extracts

Journal of Applied Research on Medicinal and Aromatic Plants(2020)

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摘要
•Multivariate regressions and ANN were used for prediction of aqueous extracts properties.•Piecewise regression was efficient for prediction of TPC.•ANN modelling was efficient for simultaneous predictions of TDS, EY, TPC and AOX.
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关键词
Multivariate regression,Artificial neural network,Medicinal plants aqueous extracts
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