Results 11 to 20 of about 592,676 (252)
Modify Training Directions in Function Space to Reduce Generalization Error
CoRR, 2023 We propose theoretical analyses of a modified natural gradient descent method in the neural network function space based on the eigendecompositions of neural tangent kernel and Fisher information matrix. We firstly present analytical expression for the function learned by this modified natural gradient under the assumptions of Gaussian distribution and
Yi Yu, Wenlian Lu, Boyu Chen
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Ibn Al-Haitham Journal for Pure and Applied Sciences, 2020 In this paper, Bayesian estimator for the parameter and reliability function of inverse Rayleigh distribution (IRD) were obtained Under three types of loss function, namely, square error loss function (SELF), Modified Square error loss function ...
Masooma Ali Abod, Hazim Mansoor Gorgee
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Fractional Integral Inequalities for Exponentially Nonconvex Functions and Their Applications
Fractal and Fractional, 2021 In this paper, the authors define a new generic class of functions involving a certain modified Fox–Wright function. A useful identity using fractional integrals and this modified Fox–Wright function with two parameters is also found. Applying this as an
Hari Mohan Srivastava +4 more
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Journal of Applied Sciences and Environmental Management, 2021 Forest aboveground biomass (AGB) is imperative in the study of climate change and the carbon cycle in the global terrestrial ecosystem. Developing a credible approach to estimate forest biomass and carbon stocks is essential.
S.J. Okonkwo, Z.H. Mshelia
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The error bounds of Gauss quadrature formulae for the modified weight functions of Chebyshev type [PDF]
Applied Mathematics and Computation, 2020 In this paper, we consider the Gauss quadrature formulae corresponding to some modifications of anyone of the four Chebyshev weights, considered by Gautschi and Li in \cite{gauli}. As it is well known, in the case of analytic integrands, the error of these quadrature formulas can be represented as a contour integral with a complex kernel.
Orive, Ramon +2 more
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A Reliability-Enhanced Forming Grinding Method of Cylindrical Involute Gears for Electrical Vehicles
International Journal of Automotive Science and Technology, 2022 A new form-grinding method of cylindrical involute gears for electrical vehicles (EVs) is proposed to obtain stable contact performance of gear tooth surfaces and improve their reliability based on a predesigned controllable second-order transmission ...
Zhi Geng, Gang Lı
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High-pass filter characteristics of the baroreflex--a comparison of frequency domain and pharmacological methods. [PDF]
PLoS ONE, 2013 Pharmacological methods to assess baroreflex sensitivity evoke supra-physiological blood pressure changes whereas computational methods use spontaneous fluctuations of blood pressure.
Istvan Bonyhay +2 more
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A derivation error that affects carbon balance models exists in the current implementation of the modified Arrhenius function [PDF]
New Phytologist, 2020 Summary Understanding biological temperature responses is crucial to predicting global carbon fluxes. The current approach to modelling temperature responses of photosynthetic capacity in large scale modelling efforts uses a modified Arrhenius equation.
Bridget Murphy, Joseph R. Stinziano
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A Modified Error Function to Improve the Error Back-Propagation Algorithm for Multi-Layer Perceptrons [PDF]
ETRI Journal, 1995 This paper proposes a modified error function to improve the error back-propagation (EBP) algorithm for multi-Layer perceptrons (MLPs) which suffers from slow learning speed. It can also suppress over-specialization for training patterns that occurs in an algorithm based on a cross-entropy cost function which markedly reduces learning time.
Sang-Hoon Oh Oh, Youngjik Lee Lee
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Ibn Al-Haitham Journal for Pure and Applied Sciences, 2019 In this paper, a Monte Carlo Simulation technique is used to compare the performance of MLE and the standard Bayes estimators of the reliability function of the one parameter exponential distribution.Two types of loss functions are adopted, namely,
Mohammed Jamel Ali +1 more
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