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The approach is based on nonlinear regression principles.
Based on nonlinear regression analysis, the time-dependent functions for the hot-spot stresses affected by corrosion deterioration are fitted.
Based on nonlinear regression analysis, three design formulae are not only developed butalso approved reasonably for the practical engineering design.
An enhanced PM2.5 air quality forecast model based on nonlinear regression (NLR) and back-trajectory concentrations has been developed for use in the Louisville, Kentucky metropolitan area.
This paper proposes a simple algorithm, based on nonlinear regression, to calculate the unknown parameters, and has the advantage of theoretical justification as well as weaker requirements for convergence.
However, the primary objective of their study was to determine E max for relative quantification, based on nonlinear regression analysis.
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A novel study based on nonlinear techniques (a local linear regression (LLR) and two feedforward artificial neural networks (ANNs)) is carried out to estimate soil moisture deficit (SMD), using the Soil Moisture and Ocean Salinity (SMOS) multi-angle brightness temperatures (Tbs) with both horizontal (H) and vertical (V) polarisations.
We propose a susceptibility scale σ based on nonlinear bifurcation analysis.
Nonlinear bSPM involve mutual information (Quian Quiroga et al. 2002 ), nonlinear regression (Pijn 1990 ; Wendling et al. 2001 ), methods based on mutual phase locking and synchronization (Tass et al. 1998 ; Chavez et al. 2003 ; Stam et al. 2007 ), polyspectra methods, and a family of methods based on nonlinear dynamics (Kantz and Schreiber 2004 ; Stam 2005 ).
Neural networks are new methodological tools based on nonlinear models.
The linear filters are based on linear operations, such as addition and constant multiplication, whereas nonlinear filters are based on nonlinear operations, such as minimum value selection.
More suggestions(15)
based on nonlinear power
based on nonlinear prediction-error
based on nonlinear absorption
based on trigonometric regression
based on logistic regression
based on nonlinear Programming
based on nonlinear process
based on nonlinear perturbation
based on nonlinear excited-state
based on nonlinear optimization
based on nonlinear mapping
based on Boosted regression
based on nonlinear beam
based on nonlinear continuum
based on nonlinear wave-propagation
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