Auto-Tuning of Identified Highly Sensitive Parameters for ANAMMOX System: Advanced Modeling Approach
Abstract: Parameter tuning, which includes the parameter estimation of the anaerobic ammonium oxidation (ANAMMOX) process, is challenging owing to the nonlinear and complex nature of the biological ...
The evolutionary dynamics are governed by the following replicator equations: $$\dot{x} = x(x-1)\left[p(B+M)(y+z) - 2pM - L + C_g\right]$$ $$\dot{y} = y(1-y)\left[p(B ...
├── README.md ├── LICENSE └── Simulation code/ ├── func.m # Core ODE — tripartite replicator dynamics ├── initial_state.m # Figure 1: sensitivity to initial strategy probabilities + 3D phase portrait ...
Engineering Mathematics Department, University of Bristol, Bristol BS8 1TW, U.K. BrisSynBio, University of Bristol, Bristol BS8 1TQ, U.K. School of Cellular and Molecular Medicine, University of ...
Parameter samples were generated using Latin Hypercube Sampling n = 1200, assuming uniform distributions over the ranges provided in Table 5. For each sampled parameter set, the model was numerically ...
The differential equations describing the kinetics of aggregation (Eq. 4) were integrated numerically using an explicit Runge-Kutta [1,4] formula implemented in the Matlab “ode45” solver for nonstiff ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results