The process of agricultural intensification is likely to accelerate given the need to better use existing land and other resources by optimizing inputs or shifting to renewable inputs and maximizing outputs.
This model act as a parallel with MLR since they all take in similar inputs and estimate parameters by optimizing the same objective (10), and merely consider temperature uncertainty.
Robust optimization is a method for handling uncertainty by optimizing control inputs over a series of model realizations.
The lesser exhaust pollution and better performance are the desirable output factors by optimizing the input parameters via factorial design.
The experimental results indicate that the F/A laser-welded joints are improved effectively by optimizing the input parameters using the Taguchi approach.
Finally, the high porosity and desired flexural strength were achieved by optimizing the input parameters of open-porous Cu-Sn-Ti composites.
However, by optimizing the input in the comprehensive approach, the χ-landscape changes and another minimum with the switched parameter configuration becomes optimal.
GENN is an evolutionary computing approach to evolve neural networks for predicting the clinical outcomes of interest by optimizing the input variables, weights, and network structure simultaneously.
For the KEGG pathway-based matrix, GO-based matrix, and Pfam-based matrix the highest balanced accuracy increased to 74.52%, 69.92%, and 70.45%, respectively (Table 1).GENN is an evolutionary computing approach to evolve neural networks for predicting the clinical outcomes of interest by optimizing the input variables, weights, and network structure simultaneously.
It does this by optimizing the inputs from a large number of variables, weights, and connectivity of network (e.g., number of hidden layers and the nodes of hidden layers).
