An inverse problem formulation is adopted in order to optimize the material design, minimize the process energy and simultaneously bounding the work-piece maximum temperature reached along the forging process.
The training algorithms adopted in this study optimize the weights by attempting to minimize the sum of squared differences between the desired and the actual values of the output neurons [10], namely E = 1 2 ∑ j ( y d j − y j ) 2, (2).
Furthermore, consideration is given to strategies that should be adopted in order to optimize influenza vaccine effectiveness in the face of immune exhaustion.
The technical solutions, adopted in the Virgo detector, optimize the current suspension scheme, but new materials and new designs are needed to further reduce the suspension thermal noise.
Parameters adopted in the process are optimized using a metaheuristic search where the image information content and brightness are maximized.
Accordingly, upland varieties are widely adopted in upland areas to optimize crop yields because of their more efficient water usage and adaptation to dry land.
A Design of Experiment (DoE) procedure with a coarse parameter space sampling is adopted in order to explore and optimize the electrical properties of the nanocomposite without altering sensibly the mechanical ones.
This exchange of choice creates a clear gain, as each kernel is adopted in the training necessary to optimize its parameters and in the case of PUK, the kernel is not exchanged for another, because it mimics the behavior of other kernels.
