Efficient Optimization of Stimuli for Model-Based Design of Experiments to Resolve Dynamical Uncertainty

PLoS Computational Biology - United States
doi 10.1371/journal.pcbi.1004488
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Public Library of Science (PLoS)

Related search

An Efficient Approach for Uncertainty Analysis in Multidisciplinary Design Optimization

2012English

Well-Posed Model Uncertainty Estimation by Design of Validation Experiments

IFAC Proceedings Volumes
2009English

Integration of Possibility-Based Optimization and Robust Design for Epistemic Uncertainty

Journal of Mechanical Design, Transactions Of the ASME
Computer Science ApplicationsMechanics of MaterialsComputer GraphicsComputer-Aided DesignMechanical Engineering
2006English

Robust Optimization Model for a Dynamic Network Design Problem Under Demand Uncertainty

Networks and Spatial Economics
Computer NetworksSoftwareArtificial IntelligenceCommunications
2010English

Prediction Uncertainty and Optimal Experimental Design for Learning Dynamical Systems

Chaos
Nonlinear PhysicsApplied MathematicsMathematical PhysicsStatisticalMedicineAstronomyPhysics
2016English

Introduction of Design of Experiments Approach for Efficient Optimization of Chiral Derivatization Conditions for D- And L-Glyceric Acids

Analytical Sciences
Analytical Chemistry
2019English

Reduction of Epistemic Model Uncertainty in Simulation-Based Multidisciplinary Design

Journal of Mechanical Design, Transactions Of the ASME
Computer Science ApplicationsMechanics of MaterialsComputer GraphicsComputer-Aided DesignMechanical Engineering
2016English

A Framework for Model-Based Optimization of Bioprocesses Under Uncertainty: Lignocellulosic Ethanol Production Case

Computers and Chemical Engineering
Computer Science ApplicationsChemical Engineering
2012English

Proposition of Methodology for Optimization of Energy System Design Under Uncertainty

22nd European Symposium on Computer Aided Process Engineering
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy