For assessment of the long-term effects of cognitive training and TRNS, participants' performance on old (presented during training) and new (not presented during training) calculation and drill problems was tested 6 months after training.
Refresher training cost calculation was based on an assumption that refresher training would be 0.5 day a year per screener.
Initial training cost calculation was based on cost of attending, cost of conducting the training, venue costs.
The training error calculation of the general Neuro-SM model for combined DC and S parameter training as well as HB training further illustrates in Fig. 2. Figure 2a, b is error calculation for combined dc and small-signal S parameter training as well as large-signal HB training, respectively.
Feed-forward of the input training pattern, Calculation and back-propagation of the error, Adjustment of weights.
The train movement calculations are implemented using Newton's laws of motion, taking into account train resistance, track curve, gradients, speed restriction and modes of operation [16].
Among others, these include novel algorithms to navigate high-dimensional chemical spaces, train similarity calculations on specific compound classes, and detect remote similarity relationships.
In the absence of a consistent theory for nonlinear systems an heuristic approach is proposed, based on three main subjects: selection of a suitable training signal, calculation of the network parameters and selection of the most appropriate network configuration.
Integrated 'implementation package' to empower front-line facility teams to continually improve care with respect to shared objectives (on-site simultaneous clinical/improvement/data management training; monthly calculation and analysis of common indicators, supportive supervision, regular shared learning).
It also explains the decline in relative performance for A. thaliana predictions on proteins that were never used for training or calculation of pairwise domain odds (Additional file 1: Figure S2).
The sizes of the predicted datasets varied greatly, so when making comparisons we reduced the sizes of the ENTS predictions to those of the alternative datasets following removal of predictions that corresponded to data used for ENTS training or calculation of pairwise domain odds in order to place bounds on the possible number of positive predictions and thereby provide fair comparisons.
