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In general, we focus on knowledge-based scoring functions based on well established statistical potentials.
Utility theory-based fitness functions (UTB-FFs) are fitness functions based on UTB-REFs.
The RBM optimization approach prioritizes functions based on the potential risk of a given functional failure.
Rather, they develop specialized functions based on the kind of information flowing into them after birth.
After identifying suitable weight functions based on Eqs.
(c) Cumulative functions based on input signals a and b.
We proposed two functions based on these ideas.
Similar functions based on strains are used for the resin.
See, Classpass functions based on the usage habits of their users.
Among the objective functions based on statistical measures, R 2 shows the highest parameter sensitivity.
Among the objective functions based on runoff signatures, S PT has the highest parameter sensitivity.
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