EVALUATION OF A SYSTEM INCLUDING SEPARABLE SUB-SYSTEMS OVER A MULTIDIMENSIONAL RANGE

摘要

An artificial neural network may be configured to test the impact of certain input parameters. To improve testing efficiency and to avoid test runs that may not alter system performance, the effect of input parameters on neurons or groups of neurons may be determined to classify the neurons into groups based on the impact of certain parameters on those groups. Groups may be ordered serially and/or in parallel based on the interconnected nature of the groups and whether the output of neurons in one group may affect the operation of another. Parameters not affecting group performance may be pruned as inputs to that particular group prior to running system tests, thereby conserving processing resources during testing.

主权项

1. A method of performing a parameter sweep over a system having sub-systems with one-way dependencies, comprising:
performing at least one of: serializing sub-systems of the system by determining the one-way dependencies between the sub-systems, and parallelizing the sub-systems by determining independencies within each sub-system; and pruning input parameters of each sub-system based on whether each input parameter affects each sub-system.