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In the actual production, measuring the complexity of set point signals for a control system has practical significance.
These metrics have been applied for measuring the complexity of two software systems: material delivery system and distributed scheduling.
In this paper, major inner structural members are considered by measuring the complexity of their geometric shape.
to be an acceptable tool for measuring the complexity and information content of a nonstationary signal in the (t, f) domain.
Entropy is a quantity used for measuring the complexity of the output patterns and it plays an important role in learning algorithm.
Defining, understanding, and measuring the complexity in EIRTS can aid us in designing and building more reliable and effective EIRTS, particularly in safety-critical settings.
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On the other hand, the count over closed orbits of length ( T_gamma sim T ) measures the complexity of the dynamical system: it is more complex if there are more closed orbits of lengths in ( [ T, T+1 ]).
The last five metrics were used to measure the complexity of shape.
Spectral radii were calculated to measure the complexity of each STM.
This question also raises important issues about how to measure the complexity of a given quantum algorithm.
The second term (varOmega) measures the complexity of the model (i.e., the set of trees) to avoid overfitting.
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