Optimization of identifying insulinaemic pharmacokinetic parameters using artificial neural network
Background and Objective: The identification of insulinaemic pharmacokinetic parameters using the least-squares criterion approach is easily influenced by outlying data due to its sensitivity. Furthermore, the least-squares criterion has a tendency to overfit and produce incorrect results. Hence, th...