Sentence examples for based on parameter selection from inspiring English sources

28 We selected the TENS dose (based on parameter selection, stimulation time, and frequency) on the basis of our previous laboratory work, 29 30 31 the findings of which are confirmed in more recent literature.

In order to establish an adaptive turbo-shaft engine model with high accuracy, a new modeling method based on parameter selection (PS) algorithm and multi-input multi-output recursive reduced least square support vector regression (MRR-LSSVR) machine is proposed.

This is used to forecast global oil production based on parameter selection from a large sample, depletion rate of remaining resources, constraints on oil reserves and cycle number determination.

The procedure of model selection based on parameter estimation is provided in Materials and Methods.

The selection of a suitable method should be based on parameters such as the type of specimen under investigation and the degree of sensitivity required.

Seeking to ensure evaluation of all parameters of the model, the proposed procedure is based on the one-by-one parameters selection that has a computational effort in the worst case given as [ nP nP + 1)/2].

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Therefore another objective of the paper is to define areas where the overlaid vertical design vertex on horizontal alignments generates SSD inadequacies and at the same time provide possible realistic solutions based on existing design parameter selection associated to SSD.

The procedure can be implemented to new road designs and existing divided highways alike, where in addition to other investigations the impact of the object height to the SSD design control, in terms of providing possible realistic solutions based on existing design parameter selection, is addressed as well.

In the proposed model, a compound structure of extreme learning machine (ELM) based on feature selection and parameter optimization using hybrid backtracking search algorithm (HBSA) is employed as the predictor.

Interestingly, PGSOM can also be used to perform hierarchical and multi-resolution clustering on selected areas of interest based on the selection on different learning parameters.