In addition, the sensitivity analysis was performed with various input values, and the results from the analyses were generally robust.
This customization, however, often leads to implementation with higher number of input values and produces several results, further elevating the problem of the number of register file ports and necessary data transports between function units and register files.
For the NN models used for predictions, three types of neurons (or units) are defined: (i) input units, which are set to represent values within the time series, (ii) output units, which store the output values corresponding to a given set of input values and produce the results of the NN processing and (iii) hidden units, which keep the internal representation of the mapping.
And ANN is essentially a processing system based on the black-box principle, as long as we provide input values and pay attention to the results of the final output.
The circuit is simulated using our SAT formulation in the fault-free and drug-free model for a specified primary input value, and the resulting primary output value for the true response is saved as Z.
Sensitivity analyses examined how base-case results might differ when input values and assumptions varied.
Results from the methodology are expressed in terms of a factor of safety for the mean input values and the probability of spalling based on input parameter distributions.
Running times vary depending on input values and system load.
The societal cost of 24-month follow-up was assessed for low, base and high-input values, and the result was expressed as a many inputs, one output tornado chart.
The experimental results were compared with models based on a linear fracture mechanics approach presented earlier, using as input values results from (2) and (3).
