It optimizes the combination of an actuator's geometric parameters by selecting the strength of vortex pairs as the evaluation indicator, coupled with orthogonal experiments and analysis of variance (AOV).
By specifying the form of the penalty term (L1, L2, or their combination), and by selecting the strength of the penalty (the value of regularization parameter λ), the researcher can control the model size and address the problem of multicollinearity.
By using the minimum ABIC condition, we selected the strength of smoothing and the best set of model parameters such as the rupture starting point, the rupture delay time of the Yunodake fault, and the first-time window triggering velocity.
An alternative way of selecting the penalty strength is presented in Supplementary Material, Figure S2B, where we split the Orkney samples in 10-folds and iteratively use 9-folds to select the optimal penalty strength (validation) and make predictions on the held-out fold (testing).
A gel pack that has a desired permeability can be devised by selecting the proper gel strength and particle size corresponding to the reservoir pressure.
This was done by selecting the most important strength-reduction features and considering insight information such as the position of defects with regard to stress distribution in the element.
For this reason, we select the node strength as one metric to characterize a node.
In the sparse models (LASSO and EN) if we select the penalty strength using a held-out set of individuals from the target population at the validation step, then we can get good generalization performance on the testing individuals irrespective of the number of SNPs that are given as input to the model (Supplementary Material, Figure S2B).
The jury for the just-completed contest — consisting of a musicologist, a historian, a sailing champion, a lawyer, a composer and a literary expert — confessed to selecting the winning entry on the strength of its political neutrality.
RM1 diet, which is substantially different in its makeup from diets A E, produces a growth curve consistent with its ME being between that of diets A and B. Faced with the choice between RM1 diet and IF solution, rats select the latter, the strength of the preference being in proportion to the strength of the IF solution (experiment 2, Table 3).
For the selection of key strengths, the mean kappa was 0.09 (95%CI: 0.05 0.13), and the mean chance of the client selecting the same item as key strength as his case manager was 24%% (95%CI: 20 28 %).
