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Here, such functions are found by using symbolic regression, a unique approach that finds both a functional form and any model coefficients simultaneously.
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A mathematical formula was created using symbolic regression which defines the problem of tensile strength for the particular data set used.
After exploring parameter importance using symbolic regression, we evaluated a set of candidate models of differing complexity according to the number of season-specific parameters.
These On cycles are represented with symbols by using symbolic aggregate approximation (SAX) method.
We implement the algorithms in the mbp planner by using symbolic model checking techniques.
Symbolic Model Checking extends the scope of verification algorithms that can be handled automatically, by using symbolic representations rather than explicitly searching the entire state space of the model.
Its practical implementation, usually done by using symbolic computation systems, can be considerably facilitated by combining the analytic computation with a suitable kind of approximation.
By using symbolic derivation, the system of ODEs if differentiated with respect to the model parameters to obtain the so-called sensitivity equations.
Perceivable phenomena (macro) are explained by molecular events that cannot be seen or touched (submicro) and that are communicated using symbolic representations.
Symbolic execution [26, 27] is a program analysis technique, which executes programs using symbolic inputs instead of concrete data.
The latter's data is subsequently transformed to symbolic representations by using the symbolic aggregate approximation method.
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