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The model prediction strategy can be described in (26) and (27).
On the basis of the above control effects, the model prediction strategy is introduced.
In order to further reduce the amount of data transmission, model prediction strategy is proposed.
The load model prediction strategy and customers' responsive behavior model are designed and integrated into OTR-O.
Besides, the model prediction strategy and customers' responsive behavior model are integrated into the original optimal temperature regulation (OTR-O), and OTR-O will be evolved into improved optimal temperature regulation.
Similar(55)
We recommend, based on the model predictions, that strategies to control pneumococcal disease and organism transmission should include reducing the group size in day-care centers.
In order to model prediction of sequence of strategies, a customized decision tree algorithm has been used.
Results: We propose a strategy for model prediction uncertainty analysis by integrating profile likelihood analysis with Bayesian estimation.
This is problematic since the models are used for model predictions and control strategies.
A limited memory prediction strategy based on the proposed OS-ELMK is designed to model the nonstationary time series.
Our gene prediction strategy was to combine a low-threshold BLAST search with profile Hidden Markov Model- HMM) based gene prediction with the prograModel- HMM [ 36].
More suggestions(15)
model fit strategy
model validation strategy
model building strategy
model prediction error
model prediction result
model prediction algorithm
model prediction accuracy
model prediction training
model simplification strategy
model selection strategy
model management strategy
model reduction strategy
model training strategy
model adaptive strategy
model generation strategy
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