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Incorporating nonlinearity in the predictor, however, by using a nonlinear kernel function, resulted in a prediction accuracy that was slightly less than in linear SVR, but this prediction still outweighed the accuracy of the MLR model.
It has been shown that the prediction performance of an LN model can be increased by using a nonlinear transformation of the stimulus (e.g., a transformation may capture nonlinearities at earlier stages of processing) that precedes the linear filtering stage [25], [47], [48].
The stamping process is consistently analyzed by using a nonlinear finite element method (FEM).
Then, design optimization for accuracy has been performed by using a nonlinear optimization technique.
Dynamic improvement of peak capacity in EFGF can be achieved by using a nonlinear gradient.
The solutions for both formulations are obtained by using a nonlinear optimization software.
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Curve fitting was carried out (using mean ROI data, not pixel-by-pixel) using a nonlinear least-squares algorithm implemented within the in-house, IDL software, and the model-independent maximum enhancement factor (MEF) was also recorded.
Each b0 volume was normalized to the EPI template provided by SPM8 using a nonlinear co-registration method, with a reslicing resolution of 2 mm × 2 mm × 2 mm.
The accuracy and objectivity of the assessment process can be enhanced by using a sophisticated nonlinear finite element analysis program.
The numerical results obtained by using a fully nonlinear finite volume solver support the theoretical findings from the linear analysis.
The machines are modeled not only by using MAXWELL® but also by using a simple nonlinear magnetic circuit to describe the effects of PMs.
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