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Usually, C and γ are determined by using cross validation.
Its properties are determined by using the photoelectrochemical technique.
The coefficients of the ARIMA model are determined by using maximum likelihood estimation.
Thereafter, the functional coefficients are determined by using computer, which best fits to the curves.
The analytical results corresponding to these are determined by using (31).
The tone- or noise-like characteristic are determined by using the entropy (48).
Driving situations are determined by using a non-dimensional warning index and time-to-collision (TTC).
In the PSO-NTVENN method, parameters are determined by using a sequential neural network approximation.
The temperature distribution and performance parameters are determined by using Adomian decomposition method.
Stability boundaries of the closed-loop system are determined by using Hurwitz stability criteria.
The controller gains are determined by using the well-known cone complementarity linearization (CCL) algorithm.
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