Estimation of the model parameters

In this study, the Machine Learning (ML) approach has been adopted using Random Forest (RF) model to estimate the CBR of the soil based on 10 input parameters such as Plasticity Index (PI), Liquid Limit (LL), Silt Clay content (SC), Fine Sand content (FS), Coarse sand content (CS), Optimum Water Content (OWC), Organic content (O), Plastic Limit (PL), Gravel content (G), and Maximum Dry Density (MDD), which can be easily determined in the laboratory.

14p viengfa 28-10-2024 4 1   Download

This study focuses on optimizing the hyperparameters of the XGB model by a grid search to find an optimal XGB predictive model. In addition, the effect of input parameters on the SCCRF's CS is studied using Shapley Additive exExplanations (SHAP) values technique.

14p viengfa 28-10-2024 2 1   Download

This article introduces a KBF designed for a simplified spatial vehicle model that uses only the vertical, roll, and pitch velocity of the sprung mass as measured outputs to estimate the sprung mass and roll and pitch moment of inertia of a two-axle truck.

11p vibecca 01-10-2024 0 0   Download

In this paper, source is considered as a single equivalent dipole and genetic algorithm, an efficient and robust optimization method, is proposed to estimate parameters of source. Some improvements are introduced to enhance performance of conventional genetic algorithm.

12p larachdumlanat127 20-12-2020 13 1   Download

The estimation of the model parameters is performed by maximum likelihood method. We hope that the new distribution proposed here will serve as an alternative model to the other models which are available in the literature for modeling positive real data in many areas.

11p guineverehuynh 22-06-2020 12 0   Download

Hepcidin (H25) is a hormone peptide synthesized by the liver that binds to ferroportin and blocks iron export. In this study, H25 was inhibited by administration of single and multiple doses of an anti-H25 monoclonal antibody Ab 12B9m in cynomolgus monkeys. The objective of this analysis was to develop a pharmacodynamic model describing the role of H25 in regulating iron homeostasis and the impact of hepcidin inhibition by Ab 12B9m. Total serum H25 and Ab 12B9m were determined in each animal. Corresponding measurements of serum iron and hemoglobin (Hb) were obtained.

15p caothientrangnguyen 09-05-2020 11 0   Download

Construction of bounds on the elastic moduli of isotropic multicomponent materials which involve three-point correlation parameters. We use numerical methods to study several representative material models. Construction of three-point correlation bounds on the effective elastic shear modulus of composite materials and applications of the bounds are given to some composites.

31p change04 08-06-2016 39 4   Download

Unstructured modelling growth of Lactobacillus acidophilus as a function of the temperature: We present modelling software developed under MATLAB in which parameter estimations are obtained by using non-linear regression techniques. The different parameters appear in a set of non-linear algebraic and differential equations representing the model of the process. From experimental data obtained in discontinuous cultures a representative mathematical model (unstructured kinetic model) of the macroscopic behaviour of Lactobacillus acidophilus has been developed.

9p nhoxtom 29-09-2015 58 5   Download

The glyoxalase pathway ofLeishmania infantumwas kinetically character-ized as a trypanothione-dependent system. Using time course analysis based on parameter fitting with a genetic algorithm, kinetic parameters were estimated for both enzymes, with trypanothione derived substrates. A Kmof 0.253 mmand aVof 0.21lmolÆmin )1 Æmg )1 for glyoxalase I, and a Kmof 0.098 mmand aVof 0.18lmolÆmin )1 Æmg )1 for glyoxalase II, were obtained.

11p awards 06-04-2013 46 2   Download

Experimental design has a long tradition in statistics, engineering and life sciences, dating back to the beginning of the last century when optimal designs for industrial and agricultural trials were considered. In cell biol-ogy, the use of mathematical modeling approaches raises new demands on experimental planning.

17p vinaphone15 27-02-2013 40 3   Download

In the article proposed an effective method estimating transfer function model of controlled plant including dead-time delay, based on stochatstic time series of input-output signals. The model structure is modified with parameters optimized until the model error becomes "white-noise" series that with inough smal auto-correlation function.

7p tuanlocmuido 19-12-2012 59 3   Download

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học thế giới đề tài: Simulation analysis to test the influence of model adequacy and data structure on the estimation of genetic parameters for traits with direct and maternal effects

0p toshiba19 15-11-2011 52 4   Download

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học thế giới đề tài: EM-REML estimation of covariance parameters in Gaussian mixed models for longitudinal data analysis

0p toshiba19 15-11-2011 68 3   Download

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: " Key transmission parameters of an institutional outbreak during the 1918 influenza pandemic estimated by mathematical modelling

7p toshiba17 28-10-2011 40 3   Download

Several times already in this chapter we have made statements about the standard errors, or uncertainties, in a set of M estimated parameters a. We have given some formulas for computing standard deviations or variances of individual parameters

11p babyuni 17-08-2010 58 3   Download

should provide (i) parameters, (ii) error estimates on the parameters, and (iii) a statistical measure of goodness-of-fit. When the third item suggests that the model is an unlikely match to the data, then items (i) and (ii) are probably worthless.

5p babyuni 17-08-2010 67 3   Download

610 Chapter 14. Statistical Description of Data In the other category, model-dependent statistics, we lump the whole subject of fitting data to a theory, parameter estimation, least-squares fits, and so on. Those subjects are introduced in Chapter 15. Section 14.1 deals with so-called measures of central tendency, the moments of a distribution, the median and mode. In §14.2 we learn to test whether different data sets are drawn from distributions with different values of these measures of central tendency. This leads naturally, in §14.

6p babyuni 17-08-2010 68 4   Download

1) Introduction The estimates of the regression parameters are influenced by a few extreme observations. The residual plot may let us pick out, which the individual data points are high or low. We may use the residual plot to find the outlier, which are inadequately captured by the regression model itself.

8p truongdoan 10-11-2009 102 7   Download