Results 11 to 20 of about 9,718,541 (278)

Closed-form approximations to the Error and Complementary Error Functions and their applications in atmospheric science. [PDF]

open access: yes, 2007
The Error function, and related functions, occurs in theoretical aspects of many parts of atmospheric science. This note presents a closed-form approximation for the error, complementary error, and scaled complementary error functions, with maximum ...
MacKenzie, Rob, Ren, Chuansen
core   +5 more sources

Error-driven active learning in growing radial basis function networks for early robot learning [PDF]

open access: yes, 2008
Error-driven active learning in growing radial basis function networks for early robot ...
Qinggang Meng (1257072)   +1 more
core   +6 more sources

Fractional Integral Inequalities for Exponentially Nonconvex Functions and Their Applications

open access: yesFractal 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
doaj   +1 more source

The error bounds of Gauss quadrature formulae for the modified weight functions of Chebyshev type [PDF]

open access: yesApplied 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 Rodríguez, Ramón Ángel   +2 more
openaire   +6 more sources

Estimating Aboveground Biomass Using Allometric Models And Adaptive Learning Rate Optimization Algorithms

open access: yesJournal 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
doaj   +1 more source

A Reliability-Enhanced Forming Grinding Method of Cylindrical Involute Gears for Electrical Vehicles

open access: yesInternational 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
doaj   +1 more source

A derivation error that affects carbon balance models exists in the current implementation of the modified Arrhenius function [PDF]

open access: yesNew 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
openaire   +3 more sources

High-pass filter characteristics of the baroreflex--a comparison of frequency domain and pharmacological methods. [PDF]

open access: yesPLoS 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
doaj   +1 more source

A Modified Error Function to Improve the Error Back-Propagation Algorithm for Multi-Layer Perceptrons [PDF]

open access: yesETRI 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
openaire   +1 more source

Measurement Error Estimation for Distributed Smart Meters Through a Modified BP Neural Network

open access: yesFrontiers in Energy Research, 2022
Smart meters generally suffer degradation of metering accuracy and performance due to aging, faults, and other factors, which, however, are difficult to detect.
Tian Xia   +5 more
doaj   +1 more source

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