Light curve model fitting results for SDSS 0110
Research on Light Response Curve Fitting Model of Four Chamaenerion Plants on the Serzilla Mountains
... different light response models to the photoresponse curves of four species of Chamaenerion, four species of Cha- maenerion collected from Serzilla were used as test ...response curve of the leaves. The ...
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A PID Positioning Controller with a Curve Fitting Model Based on RFID Technology
... with curve fitting model for mobile robot localization and position estimation which adopts passive radio frequency identification (RFID) tags in a ...the curve fitting model is ...
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A two-component model for fitting light curves of core-collapse supernovae
... a light curve model, which is able to estimate the physical properties of different types of core- collapse supernovae having double-peaked light curves, in a quick and efficient ...The ...
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Guided Robust Matte-Model Fitting for Accelerating Multi-light Reflectance
... robust fitting is proposed for the specific case of parameter estimation from ...propagate results from already known pixels to unknown ...robust fitting approaches (baseline or accelerated), without ...
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A Novel Model on Curve Fitting and Particle Swarm Optimization for Vertical Handover in Heterogeneous Wireless Networks
... prediction model using the CF-PSO to meet the requirements stated ...The results show that the CF-PSO has better performance, which will be presented in-depth in the ...
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Hubble Space Telescope observations of SV Cam - I. The importance of unresolved star-spot distributions in light-curve fitting
... Further evidence for the peppering of the SV Cam’s primary star by small starspots is shown by Jeffers et al. (2005). As previously described in section 4, they deter- mined the temperatures of the two stars using ...
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Incorporating air density into a Gaussian process wind turbine power curve model for improving fitting accuracy
... power curve model ...The results demonstrate that the best option is not to use the standard IEC correction before applying the GP ...power curve model, without any pre-correction gives ...
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Fast Design of Jerusalem-Cross Parameters by Equivalent Circuit Model and Least-Square Curve Fitting Technique
... empirical model are different from those obtained by the least-square curve fitting ...simulation results of the resonant frequencies f 1 and f 2 for the six sets of parameters generated by ...
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Age Structured Population Projection of Bangladesh by Using a Partial Differential Model with Quadratic Polynomial Curve Fitting
... We have observed that, in the year 2050, our population will be 246.3280 million whereas it is 294.38 million according to Kabir [9] and 283.8058 million according to the projection by Linear Equation [10]. In [10], the ...
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Curve fitting predication with artificial neural networks: A comparative analysis
... proposed model and the classical model, in order to set the basic theoretical background for the application of those ...the results from the models and elaborate on the impact of the findings; ...
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Two-Stage Outlier Elimination for Robust Curve and Surface Fitting
... detection results are as shown in Figure ...the model; on the contrary, model-based algorithms are very good at detecting a small portion of outliers that are not consistent with the ...the ...
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The application of Gompertz curve in the curve fitting of urbanization
... productivity results in large numbers of surplus rural workers; meanwhile, acceleration of urbanization increases city’s ability to absorb population, therefore, many people in rural areas are attracted to ...
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The KaleidaGraph Guide to Curve Fitting
... powerful fitting option in KaleidaGraph because you can specify virtually any equation to be fitted to the ...General curve fit is based on the Levenberg-Marquardt algorithm and is calculated using an ...
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Dispersion curve fitting in the infrared
... 2 by which materials differ from one another. Knowledge of these minimal parameters can be helpful in determining which combinations of materials may be fruitful in the design of achromatic lenses. Hence one tends to ...
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Curve Fitting and Solution of Equation
... V Curve Fitting and Solution of Equation 5.1 CURVE FITTING In many branches of applied mathematics and engineering sciences we come across experiments and problems, which involve two ...
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Efficient Curve Fitting Techniques
... error curve, ...error curve allows us to use the absolute minimum number of nodes that are required to uniquely define the optimum approximation required to uniquely define the optimum approximation ...
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Curve Fitting and Parameter Estimation
... predictive model that we can test against future ...quadratic model would predict should be associated with a crime rate of ...our model is not sufficiently ...
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Curve fitting with nonlinear spiral splines
... the curve ·of least ...resulting curve is invariant with respect to translation and rotation of axes and is usually much smoother than is possible with polynomial splines because the curvature of the spiral ...
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Spiking Neural Network on Curve Fitting
... The Model of the Spiking Neuron The spiking neuron is a mathematical model that is closer to the biological ...neuron model changes a real number input into a real number output signal by passing a ...
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Clustering and Curve Fitting by Line Segments
... regression fit as straight lines joining NNS quadrant (cluster) means equal to ¯ X, ¯ Y and end points 112. which are determined from another internal NNS algorithm described in [1][r] ...
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