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In each chemotactic step, for every bacteria fitness function is evaluated and position of bacteria is updated by using position updation formula given in Eq. 3. Fig. 4 Flow diagram of algorithm new p o s= old p o s+ step s izetimes frac{direction}{sqrt{direction* directio{n}^{hbox (3).
The rotor-crankshaft model is updated by using experimental modal analysis at rest.
However, only the active model is updated by using a least squares algorithm.
The initial finite element model developed according to the building survey data is updated by using the dynamic test results.
Specifically, the quantizer uses the latest estimate to adjust its thresholds, and the estimator is updated by using quantized observations.
In our model, in each iteration, if necessary, the selective pressure is updated by using feedback information from the standard deviation of fitness function values.
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AOL Journals can be updated by using AOL Instant Messenger.
The filter weights are updated by using the feedback form of Filtered-X LMS (FXLMS) algorithm.
The parameters are updated by using least mean squares (LMS) adaptive algorithm.
With deterministic methods finite element model parameters are updated by using a single set of experimental data.
In this design, the weighting parameters of the Neural Network (NN) are updated by using the Extended Kalman Filter (EKF).
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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