Approximate solutions of the Michaelis-Menten nonlinear biochemical reaction model using sigmoid-weighted neural networks (Q2669814)

For the differential system realizing the model of the title, various numerical approaches from the literature are compared. Runge-Kutta is taken as a benchmark. The method that is proposed also for other cases comes out best. It is not explained in how far neural networks and the sigmoid weights are the bases of the numerical methods applied. Instead, the paper simply refers to certain items of the reference list.