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The estimation of parameters for the functional representation uses a nonlinear regression performed by an artificial feed-forward neural network.
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We estimate the parameters using a nonlinear regression [24] technique to optimize an MMSE formulation as shown in Eq. (5).
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By plotting a fit line curve using Sigma Plot 12.0 (Systat Software Inc ., dissociation constant (Kd) values were intended using a nonlinear regression equation.
The isotherm data were correlated with six isotherm models, namely Langmuir, Freundlich, Redlich Peterson, Radke Prausnitz, Toth, and Fritz Schlunder's using a nonlinear regression technique.
In the proposed method, these parameters are directly calculated using a nonlinear regression model from the observed head and foot points of a walking human instead of estimating vanishing line and points, which are extremely sensitive to noise in practice.
The matrix of intraparticle mass transfer coefficients for competitive adsorption of two dissolved organic components on activated carbon is determined from kinetic curves obtained in a continuous stirred tank adsorber using a nonlinear regression method.
These parameters can be directly estimated using a nonlinear regression model from the observed head and foot points of a walking human instead of estimating the vanishing line and point in the image, which is extremely sensitive to noise in practice.
Analysis of enzyme kinetics, using a nonlinear regression curve, identified that, at constant cGMP levels (10 μM) and varying ATP concentrations, PKG-1α had a maximal velocity (Vmax) of 5.02 ± 0.25 pmol/min/μg and a Michaelis Menten constant (Km) of 11.78 ± 2.68 μM ATP.
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