Skip to main content

Table 5 The RMSE and RMSEm values for the best model estimated from artificial data.

From: Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis

Noise Scenario DASA PSO DE A717
   RMSE RMSEm RMSE RMSEm RMSE RMSEm RMSE RMSEm
  CO 0.0345 0.0345 0.0430 0.0430 0.0064 0.0064 0.6080 0.6080
0% AO 0.0446 6.0913 0.0406 0.7693 0.0043 1.1807 0.4644 21.3690
  TO 0.0468 1.0964 0.0447 0.0877 0.0110 0.1074 0.4542 0.6150
  NPO 0.2382 2.5430 0.3198 1.9977 0.1774 12.2287 0.6220 3.0273
  CO 0.1064 0.1064 0.1072 0.1072 0.0977 0.0977 0.5363 0.5362
5% AO 0.0739 0.3343 0.0803 1.8387 0.0678 0.2424 0.3570 0.3723
  TO 0.1139 0.1246 0.1096 0.1639 0.0985 0.5058 0.4007 0.9028
  NPO 0.2562 3.0161 0.3349 1.4970 0.2163 318.415 0.5189 1.9670
  CO 0.3926 0.3926 0.3925 0.3925 0.3904 0.3904 0.6490 0.6490
20% AO 0.2742 1.3904 0.2735 0.4750 0.2704 1.6916 0.4680 0.6220
  TO 0.3948 0.4568 0.3955 0.4368 0.3913 0.3954 0.5698 1.2933
  NPO 0.4616 1.8011 0.5055 2.6218 0.4448 5.4207 0.7556 7.2268
  1. The table presents the RMSE and corresponding RMSEm values for the model simulated with the best parameters obtained by parameter estimation with the four optimization methods from artificial data. The best values for RMSE are marked in bold, while the best values for RMSEm are marked in italic.