Food and Fermentation Industries >

2010 , Vol. 36 >Issue 02: 114 - 118

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.2010.02.038

Food and Fermentation Industries

The Comparision of Multiple Linear Regression and BP Neural Network Predicted Barley Root Phospholipase Extract

  • Yao Jun ,
  • Dou Shaohua ,
  • Zhai Mingchang ,
  • Wang Xiangyu ,
  • Xia Xianfeng ,
  • Zhao Changxin
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Online published: 2010-02-25

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Abstract

This paper was based on single factor test and central rotatable test,and established two prediction models of the extract of barley root phospholipase-BP neural network models and multiple linear regression model.The comparison of predictive value and actual value found that neural network model has more predictive power than the multiple regression model,and meets the projected demand for predictions.

Key words： phospholipase; barley root; central rotatable test; BP neural-network

Cite this article

Yao Jun , Dou Shaohua , Zhai Mingchang , Wang Xiangyu , Xia Xianfeng , Zhao Changxin . The Comparision of Multiple Linear Regression and BP Neural Network Predicted Barley Root Phospholipase Extract[J]. Food and Fermentation Industries, 2010 , 36(02) : 114 -118 . DOI: 10.13995/j.cnki.11-1802/ts.2010.02.038

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