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Table 1 Statistics and information on general regression neural network-fruit fly optimization algorithm (GRNN-FOA) models for growth, paclitaxel biosynthesis and secretion in Corylus avellana cell culture

From: A hybrid model based on general regression neural network and fruit fly optimization algorithm for forecasting and optimizing paclitaxel biosynthesis in Corylus avellana cell culture

Measured factors

Training subsets

Test subsets

 

R2

RMSE

MBE

R2

RMSE

MBE

Dry weight (g l−1)

0.92

0.48

− 0.26 × 10–15

0.88

0.81

0.03

Intracellular paclitaxel (µg l−1)

0.96

7.38

− 2.22 × 10–15

0.90

10.99

0.65

Intracellular paclitaxel (µg g−1DW)

0.93

0.93

− 0.19 × 10–15

0.91

1.37

0.01

Extracellular paclitaxel (µg l−1)

0.97

4.43

− 0.47 × 10–15

0.90

6.93

− 0.09

Total yield of paclitaxel (µg l−1)

0.97

11.31

− 3.84 × 10–15

0.90

16.93

0.55

Extracellular paclitaxel portion (%)

0.95

1.46

− 0.76 × 10–15

0.88

2.88

− 0.23

  1. R2 coefficient of determination, RMSE root mean square error, MBE mean bias error