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Curve Fitting
, 2013
"... Based on the Quantum mechanics in a Quantum phaseshifted door and two negates controlled both general door, using them as the basic unit composed of activation function neural Network, this paper puts forward a Quantum state with input and output of the Quantum neuron Quantum state model and three ..."
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layers of Quantum BP neural Network model of Network learning algorithm and performance to carry on the thorough study. Experimental results show that compared with BP neural Network, QBP appears quickly learn and convergent effect, with better fitting ability than the BP neural Network.
AN INTERACTIVE SOFTWARE FOR CURVE FITTING
"... An interactive and user friendly software in Visual Basic is presented for obtaining suitable coefficients in curve fitting operations. A general conjugate gradient optimization algorithm (GCGGSAP) is implemented for fitting curves to existing data. The user supplies up to 100 pairs of data in the ..."
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Cited by 1 (1 self)
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An interactive and user friendly software in Visual Basic is presented for obtaining suitable coefficients in curve fitting operations. A general conjugate gradient optimization algorithm (GCGGSAP) is implemented for fitting curves to existing data. The user supplies up to 100 pairs of data
on Curve FittingIn
"... To the Editor: In a recent paper (1), Hawker and Challand reported the effect of artificially generated outliers in a single RIA standard curve on the accuracy of dose interpolation for several different RIA computer curvefit programs. In that study, they reported: “In general, the Wilkins ’ (Amer ..."
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To the Editor: In a recent paper (1), Hawker and Challand reported the effect of artificially generated outliers in a single RIA standard curve on the accuracy of dose interpolation for several different RIA computer curvefit programs. In that study, they reported: “In general, the Wilkins
Constrained curve fitting on manifolds
 COMPUTERAIDED DESIGN
, 2008
"... When designing curves on surfaces the need arises to approximate a given noisy target shape by a smooth fitting shape. We discuss the problem of fitting a Bspline curve to a point cloud by squared distance minimization in the case that both, the point cloud and the fitting curve, are constrained to ..."
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Cited by 7 (1 self)
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When designing curves on surfaces the need arises to approximate a given noisy target shape by a smooth fitting shape. We discuss the problem of fitting a Bspline curve to a point cloud by squared distance minimization in the case that both, the point cloud and the fitting curve, are constrained
Hybrid Curve Fitting
, 2006
"... We consider a parameterized family of closed planar curves and introduce an evolution process for identifying a member of the family that approximates a given unorganized point cloud {pi}i=1,...,N. The evolution is driven by the normal velocities at the closest (or foot) points (fi) to the data poin ..."
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Cited by 5 (5 self)
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We consider a parameterized family of closed planar curves and introduce an evolution process for identifying a member of the family that approximates a given unorganized point cloud {pi}i=1,...,N. The evolution is driven by the normal velocities at the closest (or foot) points (fi) to the data
On the complexity of curve fitting algorithms
, 2008
"... We study a popular algorithm for fitting polynomial curves to scattered data based on the least squares with gradient weights. We show that sometimes this algorithm admits a substantial reduction of complexity, and, furthermore, find precise conditions under which this is possible. It turns out that ..."
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Cited by 3 (0 self)
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We study a popular algorithm for fitting polynomial curves to scattered data based on the least squares with gradient weights. We show that sometimes this algorithm admits a substantial reduction of complexity, and, furthermore, find precise conditions under which this is possible. It turns out
Multiple Linear Curve Fitting
, 1977
"... A technique for fitting a linear expression to data with errors in all or any of the variables is described. The form of the errors is restricted to the product of a row (data set) and a column (variable) error value. This form covers many practical cases and allows the development of an efficient a ..."
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A technique for fitting a linear expression to data with errors in all or any of the variables is described. The form of the errors is restricted to the product of a row (data set) and a column (variable) error value. This form covers many practical cases and allows the development of an efficient
FREQUENCY VALUATION IN CURVE FITTING ALGORITHM
, 2006
"... Abstract: The possibility to use the Curve Fitting Algorithm (CFA), for the Power Quality (PQ) parameters valuation foreseen by the EN 50160 Rule, is faced in terms of frequency determination. The comparison between the loop algorithm performance in the frequency determination and the thrown one, us ..."
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Cited by 2 (2 self)
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Abstract: The possibility to use the Curve Fitting Algorithm (CFA), for the Power Quality (PQ) parameters valuation foreseen by the EN 50160 Rule, is faced in terms of frequency determination. The comparison between the loop algorithm performance in the frequency determination and the thrown one
Optimal Curve Fitting to Digital Data
 International Journal of WSCG, Vol
"... An optimal curve fitting technique has been developed which is meant to automatically provide a fit to any ordered digital data in plane. A more flexible class of rational cubic functions is the basis of this technique. This class of functions involves two control parameters, which help to produce o ..."
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Cited by 1 (1 self)
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An optimal curve fitting technique has been developed which is meant to automatically provide a fit to any ordered digital data in plane. A more flexible class of rational cubic functions is the basis of this technique. This class of functions involves two control parameters, which help to produce
Results 1  10
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6,777