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Table 4 Actual and predicted lipase activity by ANN and RSM models along with absolute deviation, R2 and AAD

From: A modeling study by response surface methodology and artificial neural network on culture parameters optimization for thermostable lipase production from a newly isolated thermophilic Geobacillus sp. strain ARM

Actual activity ANN predicted activity ANN absolute deviation RSM predicted activity RSM absolute deviation
0.2063 0.2063 0 0.2061 0.000969
0 0 0 0.00019 0
0.0207 0.0208 0.0048 0.0209 0.0097
0 0.0001 0 0.0002 0
0 0.0002 0 0.0002 0
0.0291 0.0291 0 0.0289 0.0069
0 0 0 0.0002 0
0.0886 0.0886 0 0.0888 0.0023
0.0724 0.0724 0 0.0722 0.0028
0 0 0 0.0002 0
0.0907 0.0908 0.0011 0.0909 0.0022
0.1945 0.1945 0 0.1947 0.001
0.04 0.04 0 0.04 0
0.0229 0.0227 0.0087 0.0229 0
0.0457 0.0457 0 0.0457 0
0.0551 0.0552 0.0018 0.0551 0
0 0 0 0 0
0.0841 0.084 0.0012 0.0841 0
0.0675 0.0677 0.003 0.0675 0
0 0 0 0 0
0.0851 0.0851 0 0.0851 0
0.0281 0.028 0.0044 0.0281 0
0 0 0 0 0
0 0 0 0 0
0.0467 0.0467 0 0.0465 0.0043
0 0.001 0 0.0002 0
0.0693 0.0692 0.0014 0.0691 0.0029
0.0792 0.0795 0.0038 0.0794 0.0025
0.0996 0.0992 0.004 0.0994 0.002
  1. ANN training set R2 = 1
  2. ANN training set AAD = 0.1%
  3. RSM R2 = 1
  4. RSM AAD = 0.129%
  5. ANN testing set R 2 = 1
  6. ANN testing set AAD = 0.23117%
  7. ANN training set: normal and italic (center points) numbers
  8. ANN testing set: bold numbers