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RSM and ANN models were developed and compared for their predictive, generalization and optimization abilities.
Both methodologies have been compared for their modeling and optimization abilities.
Due to the random deployed manner of the customers, small cells should have automatic parameters an tuning and optimization abilities to realize the self-deployment in heterogeneous networks.
For sensitivity analysis and optimization abilities, the biosorption experiments have been statistically modeled using artificial neural network (ANN) and central composite design (CCD).
S-ADAPT is a version of the ADAPT program that contains additional simulation and optimization abilities such as parametric population analysis.
However, the modeling and optimization abilities of RSM as evaluated by the R-squared values, were found to be higher than that of ANN.
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Using the immune genetic algorithm global search optimization ability and good convergence, optimize the weights of the neural network, meanwhile adjusting PID parameters using BP network.
In this work, PSO has been utilized for accommodating required functionalities and performance specifications considering optimal sizing of analog integrated circuits with high optimization ability in short computational time.
Ideally there is a combination of these values that improve the optimization ability of the HS algorithm.
The HNN was used as the basis of this equalizer due to its low complexity optimization ability.
Additionally, the various settings of the weights (i.e., ω and α) will affect the optimization target instead of the optimization ability.
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