<p>Main parameter settings of the evolutionary wavelet neural networks for the different datasets.</p
In this paper I describe an evolutionary wavelet network to optimize the filtering of a statisticalt...
<p>Parameters for the simulation of the network for detected significant elevations in a time-varyin...
<p>Sets of values are indicated by braces whereby the values correspond to the parameters used for e...
Parameters setting for the Adam optimizer using the popular deep learning libraries.</p
<p>Parameter settings used in the simulations (units for all rates are “per gene per generation”).</...
The issue of setting the values of various parameters of an evolutionary algorithm is crucial for go...
Design of the neural networks for the fitting of the frequency response characteristics.</p
<p>The training data set “MG” is used. (A) Mean of the gain parameter of the five hidden neurons. (...
<p>Basic network parameters of the two generated networks, compared with simulated randomized model ...
<p>Main set of parameters used for the DNA model and for the numerical simulations.</p
<p>The different sets of parameter values that was used in the different types of simulations.</p
Generated genotype specific parameters (GSPs) using experimental and breeder data.</p
<p>The parameters used to initialize and run the algorithm for the competition data sets and hand-sq...
<p>Full list of parameters of the model, their biological interpretations, and the ranges over which...
<p>List of the built-in optimization parameters used by the Genome Partitioner algorithm.</p
In this paper I describe an evolutionary wavelet network to optimize the filtering of a statisticalt...
<p>Parameters for the simulation of the network for detected significant elevations in a time-varyin...
<p>Sets of values are indicated by braces whereby the values correspond to the parameters used for e...
Parameters setting for the Adam optimizer using the popular deep learning libraries.</p
<p>Parameter settings used in the simulations (units for all rates are “per gene per generation”).</...
The issue of setting the values of various parameters of an evolutionary algorithm is crucial for go...
Design of the neural networks for the fitting of the frequency response characteristics.</p
<p>The training data set “MG” is used. (A) Mean of the gain parameter of the five hidden neurons. (...
<p>Basic network parameters of the two generated networks, compared with simulated randomized model ...
<p>Main set of parameters used for the DNA model and for the numerical simulations.</p
<p>The different sets of parameter values that was used in the different types of simulations.</p
Generated genotype specific parameters (GSPs) using experimental and breeder data.</p
<p>The parameters used to initialize and run the algorithm for the competition data sets and hand-sq...
<p>Full list of parameters of the model, their biological interpretations, and the ranges over which...
<p>List of the built-in optimization parameters used by the Genome Partitioner algorithm.</p
In this paper I describe an evolutionary wavelet network to optimize the filtering of a statisticalt...
<p>Parameters for the simulation of the network for detected significant elevations in a time-varyin...
<p>Sets of values are indicated by braces whereby the values correspond to the parameters used for e...
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