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Table 6 Comparison of predictive capacity of UD and ANN

From: The artificial neural network approach based on uniform design to optimize the fed-batch fermentation condition: application to the production of iturin A

 

Training data

Validation data

UD

ANN

UD

ANN

RMSEa

32.21

4,84

483.12

237.58

Cb

99.86%

1.0

78.58%

92.62%

error %

0.26

0.039

4.15

2.19

  1. aRMSE is the root-mean-square-error.
  2. bC is the correlation coefficient.
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Microbial Cell Factories

ISSN: 1475-2859

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