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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
(IEEE, 2021)
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 ...
Embedded position control system of a manipulator using a robust nonlinear predictive control
(Institute of Electrical and Electronics Engineers, 2013-11)
This paper deals with the implementation of a embedded position control system using a robust nonlinear predictive controller, which is employed to control simultaneously angular positions of the base and arm of an angular ...
Impact of dose and grading uncertainties on xerostomia prediction using machine learning classification
(2020)
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 ...
Model-Free Predictive Current Control of a Voltage Source Inverter
(Institute of Electrical and Electronics Engineers, 2020-11)
Conventional model predictive control (MPC) of power converter has been widely applied to power inverters achieving high performance, fast dynamic response, and accurate transient control of power converter. However, the ...
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
(IEEE, 2020)
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 ...