Now showing items 1-10 of 2399
Sensitivity, Prediction Uncertainty, and Detection Limit for Artificial Neural Network Calibrations
(American Chemical Society, 2016-08)
With the proliferation of multivariate calibration methods based on artificial neural networks, expressions for the estimation of figures of merit such as sensitivity, prediction uncertainty, and detection limit are urgently ...
Petroleum reservoir uncertainty mitigation through the integration with production history matching
(Associação Brasileira de Engenharia e Ciências Mecânicas - ABCM, 2011)
Review on fuzzy and neural prediction interval modelling for nonlinear dynamical systems
The existing uncertainties during the operation of processes could strongly affect the performance of forecasting systems, control strategies and fault detection systems when they are not considered in the design. Because ...
A note on model uncertainty in linear regression
(Blackwell Publ Ltd, 2003-01-01)
We consider model selection uncertainty in linear regression. We study theoretically and by simulation the approach of Buckland and co-workers, who proposed estimating a parameter common to all models under study by taking ...
Impact of dose and grading uncertainties on xerostomia prediction using machine learning classification
Due to the sharp dose gradients present in IMRT treatments, small uncertainties can generate significant differences between the planned and delivered dose distribution for head-and-neck cancer patients. This thesis ...
Hybrid-parallel uncertainty reduction method applied to forest fire spread prediction
(Ibero-American Science and Technology Education Consortium, 2017-04)
Fire behavior prediction can be a fundamental tool to reduce losses and damages in emergency situations. However, this process is often complex and affected by the existence of uncertainty. For this reason, from different ...
Uncertainties propagation and global sensitivity analysis of the frequency response function of piezoelectric energy harvesters
(Institute of Physics, 2017)
The goal of this work is to describe a framework to propagate uncertainties in piezoelectricenergy harvesters(PEHs). These uncertainties are related to the incomplete knowledge of themodel parameters. The framework presented ...
Empirical quantification and uncertainty assessment of SO2 and PM2.5 emission factors of power plants in Chile
In this paper, empirical emissions factors of power plants above 50 MWt are quantified. Also, uncertainty assessments are carried out, as well as comparisons of the empirical emission factors and those retrieved from the ...
Welfare consequences of persistent climate prediction errors on the insurance markets against natural hazards
(Universidade Federal de Minas GeraisBrasilFCE - DEPARTAMENTO DE DEMOGRAFIAUFMG, 2018)
Uncertainty in a monthly water balance model using the generalized likelihood uncertainty estimation methodology
Hydrological models are simplified representations of natural processes and subject to errors. Uncertainty bounds are a commonly used way to assess the impact of an input or model architecture uncertainty in model outputs. ...