Sentence examples for various parameter optimization from inspiring English sources

Various parameter optimization methods exist that minimize the difference between experimental data and corresponding model simulations, e.g., trust-region optimization methods, simulated annealing, and genetic algorithms [ 31].

Finally, the kinetic parameters in the model are estimated by various parameter optimization techniques [ 2], from the time-series data measured for the constituent molecules.

We investigate the modeling process using multiple kinetic equations together with various parameter optimization methods for a well-characterized example network, the biosynthesis of valine and leucine in C. glutamicum.

Indeed, various techniques for parameter optimization have been devised and implemented in both free and commercial software.

A simplified energy model helped to form the building configuration at the preliminary design stage by showing how energy use is affected by various parameters, leading to optimization studies that provided design guidelines towards an energy-efficient building envelope and opening design.

Various temperatures were included in the parameter optimization process.

The developed tool (Model-R Coupler) is promising because users of any model can connect an external algorithm (written in R) with their model to implement various model behavior analyses (e.g., parameter optimization, sensitivity and uncertainty analysis, performance evaluation, and visualization) without accessing or modifying the model's source code.

Multiobjective optimization of an industrial grinding operation under various parameter uncertainties is carried out in this work.

The L-BFGS algorithm is an effective parameter optimization method which can be used for parameter estimation for various machine learning problems.

Furthermore, we show that the various HRR scores (10, 20, 30, 40 and 50) used for performance evaluation and parameter optimization of MCL clustering described above were statistically significant (P < 2.95E-04) in all conditions defined (Additional file 1: Table S5).

PSO has been used to solve several types of optimization problems [ 15], including function optimization and parameter optimization [ 16] and shows promise for nonlinear function optimization [ 17– 22].