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We update our earnings per share estimates (+5% for 2017, -1% for 2018 and -2% for 2019) and reduce our target price to 820p (from 825p) due to small differences in out-turn asset base valuations in our model update.
The influence of the model reduction and model update on the detection accuracy is studied.
This study shows that model update significantly contributes to the successful structural change detection.
The observed data are the input for the transport model update.
The model update and extension of MARS are all based on the Region of Madrid, Spain.
Three variants of online ELM are utilized in the model update process for comparison.
The model update is achieved by updating the distributions of uncertain parameters through Bayesian inference.
Furthermore, by means of keyword model update, the system can be self-improved constantly.
The system model and model update process is introduced in Sect. 4. In the following Sect.
A detailed population balance model is used for the batch-to-batch control, which simplifies model update and feedback correction.
For comparative study, an existing model update technique based on system identification is modified to constraint elements to be updated.
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