Sentence examples for constituent model from inspiring English sources

Exact(5)

Within these representations we identified and manipulated certain situational factors, including the percentage of target group members in the population and the designed accuracy and sensitivity of each constituent model.

Since the positive relationship that emerges from the analysis is consistent for both cases, by examining the mechanisms underlying this relationship, the paper develops an adequate and consistent perspective based on a constituent model reflecting the technological and competition structure of mobile network services.

The second constituent model, referred to as an IGRF model, is non-definitive - it will eventually be replaced by a definitive model in a future revision of the IGRF.

Transient glutamatergic stimulation of constituent model neurons mimicked the experimental glutamate un-caging protocol by Kam et al. which evoked respiratory bursts in the preBötC (Kam et al., 2013b).

Second, rhythm cessation required the average deletion of 41 constituent model neurons (SD 15, SEM 6, range 19 67, Figure 6 figure supplement 1B,C; Supplementary file 1) as opposed to the experimental cell ablation tally of ∼85.

Similar(55)

We summarise the 10 constituent models that simulate hydrology, human influences, crops, natural vegetation and climatic conditions.

The proposed algorithm predicts by combining the prediction values of all constituent models based on their performance.

In the ensemble models, we considered GP and GMDH as constituent models and chose GP, GMDH, BPNN and Average as arbitrators.

Computing models such as artificial neural network (ANN), genetic algorithm (GA), and swarm intelligence (SI) are major constituent models of the bio-inspired approach.

The designed neural network successively recognizes the weight patterns of the constituent models from their past forecasting records and then predicts the desired set of the combining weights.

In this paper, an ensemble cloud resource usage prediction algorithm based on Learning Automata (LA) theory is proposed that combines state of the art prediction models, and it determines weights for individual constituent models.

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