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Ideal models for efficiency evaluation of WPTS can predict performances that are quite far from the real ones.
Both operating line and effectiveness stand as efficient design tools to predict performances of the reactor and to guide R&D choices to enhance them.
Neural net-based adaptive learning models are very rapidly developed if adequate plant operating data is available, and can be used to predict performances robustly when engineering judgment and experiences are used in constraining their behavior appropriately.
It is worthy of mentioning that both WP and AP were used to predict performances of lines from the identical validation set in CV1 and CV2, respectively.
This finding suggests, in practical breeding, to achieve high prediction accuracies, even with a high cost, it is still worthwhile to phenotype a proportion of lines from a breeding population to predict performances of genotypes generated from the subsequent intercross or backcross generations (Bernardo and Yu 2007).
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"New York State can't accurately predict performance on Math A," the report said.
"We haven't given any specific guidance" because the company's new operating model makes it difficult to predict performance, Dr. Rowe said.
Trying to explain and predict performance is bound to fail.
The results are being used to predict performance and to optimise routes.
There is some research which suggests that mapping out the network of investors is a better way to predict performance.
Simulation involves use of a model to predict performance.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com