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Quantitative structure activity relationship (QSAR) modeling for prediction of biomolecule parameters has become an established technique in chromatographic purification process design.
The heuristic behind the SVM algorithm is quite different from that of the commonly used logistic regression modeling for prediction.
The heuristic behind the SVM algorithm is quite different from that of the commonly used logistic regression (LR) modeling for prediction.
When applying ANN modeling for prediction of congenital CMV outcome based on UL146 sequences, UL146 genotypes were predictive of outcome, while in UL147 and US28 no positions were found that correlated with disease outcome.
This study is an application of Radial Basis Function Neural Network (RBFNN) modeling for prediction of soil pore-water pressure responses to rainfall.
A summary is given about the test results including S-N-curves, fracture sections and hysteresis loops and about empirical modeling for prediction of fatigue life of the material.
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Multilayer neural network was applied to develop an intelligent predictive model for prediction of the logs.
Although these are important models for prediction of mechanisms of action, they are less predictive of clinical activity.
Adaptive modeling embeds the tacit knowledge of investigators in network models for prediction and analysis.
Section "Time series models for prediction" gives a detailed explanation of the various time series models.
Finally, to choose the best model for prediction of financial distress of Indian manufacturing companies.
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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