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The binding to find must minimize this function.
(9)The goal then is to minimize this function; therefore, we must deduce a back-propagation learning algorithm using the present cost function.
To minimize this function, we used the Levenberg Marquardt algorithm.
To minimize this function, we used the Levenberg-Marquardt algorithm [ 15].
A key discovery that we made was that the current genomic locations of all the operons in E. coli K12 tend to minimize this function in comparison with artificially-generated alternatives [19].
Similar(54)
In particular, Kiwiel [9] proposed an alternating linearization bundle method for the sum of two convex functions and one of them is "simple" (i.e., minimizing this function plus a separable convex quadratic function is "easy").
The value of x that achieves the best possible worst return is found by minimizing this function.
In [15] Tank and Hopfield derived an energy function and showed how the HNN can be used to minimize this energy function, thus producing near-ML sequence estimates at the output of the neurons.
The goal of every particle is to minimize this multiobjective function iteratively.
It is shown here that optimal dampers and damped vibration absorbers can be found which minimize this objective function.
Then, an optimized process is run to minimize this objective function by varying parameters a and t.
Related(20)
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com