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The following properties of the proposed algorithm make it superior to existing algorithms: (1) All the parameters of the algorithm are tuned dynamically and optimally.
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However, it is believed the parameters of the algorithm were badly defined, making the batches too large and putting almost the whole order into play at once.
The improved genetic algorithm is adopted to solve all the parameters of the NN probability generating model.
First, the tractography algorithms can be tested on synthetic data, where all the parameters of the underlying model are known [14].
It takes the inputs from the instructor to define the parameters of the learning algorithm and evaluating the performance.
The images are shown in figure 7. The parameters of the respective algorithms were adjusted so that the SNR gain of all denoised images was roughly about 100%.
All other parameters of the algorithm are fixed at a level that experimentally provided maximum sensitivity.
All the default parameters were used when making grids and running AutoDock4, except that the parameter of the genetic algorithm, "Maximum Number of Evals", was set to 2,000,000.
The parameters of the model were estimated using all the experimental results by means of a direct search algorithm.
Therefore, in this section, the parameters of all algorithms are calibrated by using Taguchi method (Fazel Zarandi et al. 2013).
The user can select which algorithms will run, and can configure all tuning parameters of those algorithms.
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