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However, the results from the computer simulation model given in this paper are for beams with simply supported end conditions.
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Analytical models given in this study can easily help designers to evaluate thermal conductivity of ground and thermal performance of the borehole GHEs.
First, similar to the MLP-based models given in this paper, the proposed LSTAR-LST-GARCH-RBF models utilize neural network architectures in the conditional variance processes.
We would like to thank Dr. Yukako Tohsato for her helpful suggestions in the algorithms and modeling given in this paper.
In this study, we use the same time-varying channel model given in Section.2 of Part I of this series.
In this section, we reduce the model given in (69) and (70) to a mean excitatory and mean inhibitory model.
This fact is simulated by a model given in Hudson's software [ 36].
This produces posterior distributions for the parameters in the model given in (2 - 3) [ 15].
The model given in (1) is not identified.
The LSTAR-LST-GARCH-MLP model given in Eqs.
d) The UPFC is modeled using the dynamic model given in [22].
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