Results 21 to 30 of about 63,026 (172)
Hybrid Levenberg–Marquardt and weak-constraint ensemble Kalman smoother method [PDF]
The ensemble Kalman smoother (EnKS) is used as a linear least-squares solver in the Gauss–Newton method for the large nonlinear least-squares system in incremental 4DVAR.
J. Mandel +4 more
doaj +1 more source
Non-linear carbon dioxide determination using infrared gas sensors and neural networks with Bayesian regularization [PDF]
Carbon dioxide gas concentration determination using infrared gas sensors combined with Bayesian regularizing neural networks is presented in this work.
Almeida +27 more
core +1 more source
The Levenberg-Marquardt-Type Methods for a Kind of Vertical Complementarity Problem
Two kinds of the Levenberg-Marquardt-type methods for the solution of vertical complementarity problem are introduced. The methods are based on a nonsmooth equation reformulation of the vertical complementarity problem for its solution.
Shou-qiang Du, Yan Gao
doaj +1 more source
Bootstrap Resampling in Gompertz Growth Model with Levenberg–Marquardt Iteration
Soybean plants have limited growth with a planting period of 12 weeks, which causes the observed sample to be very small. A small sample of soybean plant growth observations can be bias causes in the conclusion of prediction results on soybean plant ...
Fandi Rezian Pratama Gultom +2 more
doaj +1 more source
Fitting sediment rating curves using regression analysis: a case study of Russian Arctic rivers [PDF]
Published suspended sediment data for Arctic rivers is scarce. Suspended sediment rating curves for three medium to large rivers of the Russian Arctic were obtained using various curve-fitting techniques.
N. I. Tananaev
doaj +1 more source
Angle-resolved X-ray photoelectron spectroscopy (ARXPS) and a modified Levenberg-Marquardt fit procedure: a new combination for modeling thin layers [PDF]
The combination of angle-resolved X-ray photoelectron spectroscopy (ARXPS) and a modified Levenberg-Marquardt (LM) fit procedure has been used to study a native oxide layer on a clean Si(100) substrate.
Aarnink, W.A.M. +2 more
core +2 more sources
It is beneficial for maintenance department to make maintenance strategy and reduce maintenance cost to forecast the hidden danger index value. Based on the analysis of the research status of wheel-to-life prediction at home and abroad and the repair of ...
Yu Zhang +3 more
doaj +1 more source
Acceleration of Levenberg-Marquardt Training of Neural Networks with Variable Decay Rate [PDF]
In the application of the standard Levenherg-Marquardt training process of neural networks, error oscillations are frequently observed and they usually aggravate on approaching the required accuracy.
Au, FTK, Chen, TC, Han, DJ, Tham, LG
core +1 more source
Our purpose of this paper is to solve a class of stochastic linear complementarity problems (SLCP) with finitely many elements. Based on a new stochastic linear complementarity problem function, a new semi-smooth least squares reformulation of the ...
Zhimin Liu, Shouqiang Du, Ruiying Wang
doaj +1 more source
PurposeThis study aimed to evaluate Artificial Neural Network (ANN) modeling to estimate the significant dose length product (DLP) value during the abdominal CT examinations for quality assurance in a retrospective, cross-sectional study.MethodsThe ...
H. O. Tekin +10 more
doaj +1 more source

