Error (Loss) Function
On approximating the error function
... has numerous applications in probability, statistics, and partial differential equations the- ory. Recently, the bounds for the error function have attracted the attention of many re- searchers. In ...
17
Optimal lower and upper bounds for the geometric convex combination of the error function
... this function are collected, for example, in [, ...the error function has been a topic of recurring interest, and a great number of results on this subject have been reported in the literature ...
8
Diffusion Coefficient for Sublimation Diffusion Of Disperse Dye using Error Function
... complementary error function was ...complementary error function derived from the ratio of the mean dye concentrations between adjacent ...complementary error function for the ...
7
Best possible inequalities for the harmonic mean of error function
... It is well known that the error function erfx is odd, strictly increasing on –∞, +∞ with limx→+∞ erfx = , strictly concave and strictly log-concave on [, +∞.. In particular, many remar[r] ...
9
COMMUTATIVE NEUTRIX CONVOLUTION PRODUCT INVOLVING GAUSSIAN ERROR FUNCTION
... In [11] the commutative neutrix convolution product is defined so that it exists for a considerably large class of pairs of distributions. In that definition, unit- sequences of function in D are used which allows ...
14
Evolutionary modeling-based approach for model errors correction
... identical error function is very low in climate models based on the existing ...six error functions can be divided into two categories. The first three error functions only contain time ...
9
On singular and highly oscillatory properties of the Green function for ship motions
... Green function used for analysing ship motions in waves is the velocity potential due to a point source pulsating and advancing at a uniform forward ...this function is investigated, in particular for the ...
15
50807 01 DASL Users Guide Volume 3 Nov1984 pdf
... If a fatal error occurs on that nosl during the nosl open or any other NOSL function, the error function will be called and the address of the error data will be passed as a parameter to[r] ...
120
On approximating Mills ratio
... the function F is related to the error function, and also to the upper incomplete Gamma function of parameter /, the properties of the Mills ratio are spread over papers and books of ...
14
Combination of Mls , GA & Cg for the Reduction of RCS of Multilayered Cylindrical Structures Composed of Dispersive Metamaterials
... structure geometry (radius of core cylinder, number of cylindrical layers and their thicknesses), various parameters in the dispersion relations of permittivity and permeability, incidence angle of plane waves, ...
27
A Study on The Mixture of Exponentiated-Weibull Distribution
... reliability function and hazard function with type II censored sample under squared error loss function as well as under LINEX loss ...squared error loss and LINEX loss ...
29
Error bounds for random generalized mixed variational inequality problems with random fuzzy mapping
... Throughout the paper, let H be a real Hilbert space, whose inner product and norm are de- noted by h·, ·i and k · k, respectively. Let F be a collection of all fuzzy sets over H. A mapping T : H → F (H) is called a fuzzy ...
24
Study of cost functions in three term backpropagation for classification problems
... activation function will transform the input into its own value range ...activation function is sigmoid function. The sigmoid function transforms the input, which can have any value between ...
23
Vol 9, No 6 (2018)
... Cho et al. (2015) discussed The sign and magnitude of the shape parameter ℎ reflects the direction and degree of asymmetry, respectively. For ℎ > 0 , the overestimation is more serious than underestimation, for ℎ < ...
8
Bayesian Estimation Of Shift Point In Poisson Model Under Asymmetric Loss Functions
... Squared error loss function, Linex loss function, Precautionary loss function and General entropy loss function by making programs in ...
12
Constraining the stream power law: a novel approach combining a landscape evolution model and an inversion method
... misfit function, we decided not to use the error on the observed topography (as is usually the case) because this error is very small in comparison to other po- tential sources of error ...
12
An Error Controlled Method to Determine the Stellar Density Function in a Region of the Sky
... density function in a region of the sky with complete error controlled ...these error estimates are, the variance of the fit, the variance of the least squares solutions vector, the average square ...
12
ENSEMBLE OF CLUSTERING ALGORITHMS FOR ANOMALY INTRUSION DETECTION SYSTEM
... truncation error will be introduced. Hence in the propagated error compensated multiplier, only the partial product bits in LP minor are removed and carry value is propagated from LP minor to LP major, ...
8
Estimating a Bounded Normal Mean Relative to Squared Error Loss Function
... mean X , is the maximum likelihood estimator which under squared error loss function is minimax and admissible estimator. In many practical situations, is known in advance to lie in an interval, say [ m ...
10
L (p) error estimates for radial basis function interpolation on the sphere
... Birkbeck ePrints: an open access repository of the research output of Birkbeck College http://eprints.bbk.ac.uk.. Hubbert, Simon; Morton, Tanya M.[r] ...
24