Figure 4.

Performance evaluation for nonlinearly parameterized situation with unknown V and K. Root mean square error of parameter K was plotted with respect to different noise variances ranging from 0.01 to 1 and different values of V in A and B. (A: true value of K = 5000, and B: True value of K = 10000). In subfigures A and B, colors of the curves denote different parameter settings of parameter V (Blue: V = 0.01, Red: V = 0.1, Green V = 0.5, Cyan: V = 1, Magenta: V = 5, Black: V = 10). Root mean square error of parameter V was plotted with respect to different noise variances ranging from 0.01 to 1 and different values of K in C and D (C: true value of V = 1, and B: True value of V = 10). In subfigures C and D, colors of the curves denote different parameter settings of parameter K (Blue: K = 1, Red: K = 10, Green K = 50, Cyan: K = 100, Magenta K = 500, Black K = 1000, Dark Green K = 5000, Brown K = 10000).

Ghasemi et al. BMC Systems Biology 2011 5(Suppl 3):S9   doi:10.1186/1752-0509-5-S3-S9