Sentence examples for modeling architecture identified from inspiring English sources

This section provides an abstract machine specification for the modular imperative agent-based modeling architecture identified in the previous section.

In order to improve the network performance, fuzzy subtractive clustering was used to identify model architecture, extract and optimize fuzzy rule of the model.

First, the common requirements of the architecture-based models are identified and the classification is proposed.

In the preliminary investigations, the architecture of the ANN model was identified by trial-and-error procedure.

With DCM, we varied the presence or absence of endogenous, bilinear, or nonlinear parameters and performed Bayesian model comparisons with identify the optimal model architecture.

In each case, the optimal combination of working-fluid and ORC system architecture is identified, and system investment costs are evaluated through component sizing models.

However, despite the overall similarities, a number of significant differences between activation dynamics within the two models were identified, which highlights the limits of applying conclusions from generalized simple architecture models to individual cases.

We build the power models using previously identified one-hidden-layer NN architecture and two-hidden-layer architecture.

Limitations of each architecture were identified.

In particular we identified the interlocking loop structure as providing a suitable model architecture for the circadian clock and other robust biochemical oscillators, because this circuit provides a good tradeoff in sensitivity and robustness to input signals and noisy input.

The resulting model is then used to generate different scenarios of plant architecture to identify the canopy architecture with optimal canopy photosynthetic rates.