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Simultaneously, applying regression analysis a mathematical predictive model for predictions of the groove difference and the roughness average has been developed in terms of cutting speed, feed rate, and depth of cut.
Simple multiple linear regression (MLR) and a nonlinear method, artificial neural network (ANN), were used to model the bioactivities of the compounds; while MLR gave an acceptable model for predictions, the ANN-based model improved significantly the predictive ability, being more reliable for the prediction and design of novel 5-HT6 receptor ligands.
A parametric Information Theory Model for Predictions in Time Series.
The best results are obtained by using more than one model for predictions.
The model for predictions is based on the Radiant Time Series (RTS) method.
In addition, a simple analytical truss model for predictions of failure load is proposed and discussed.
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Multilayer neural network was applied to develop an intelligent predictive model for prediction of the logs.
An electric field model for prediction of somatosensory (S1) cortical field potentials induced by ventral posterior lateral (VPL) thalamic microstimulation.
R. Sugrue, J. Buongiorno, "A Modified Force-Balance Model for Prediction of Bubble Departure Diameter in Subcooled Flow Boiling", Nuc.
Beckman, W. A., Mitchell, J. W., Porter, W. P. Thermal model for prediction of a desert Iguana's daily and seasonal behavior.
A model for prediction of the microhardness profiles for nitrocarburized steels was designed.
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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