𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Modeling uncertainty in networks

✍ Scribed by Cerry M. Klein

Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
966 KB
Volume
17
Category
Article
ISSN
0895-7177

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Artificial neural network modelling of u
Artificial neural network modelling of uncertainty in gamma-ray spectrometry
✍ Dragović, S.; Onjia, A.; Stanković, S.; Aničin, I.; Bačić, G. πŸ“‚ Article πŸ“… 2005 πŸ› Elsevier Science 🌐 English βš– 275 KB

An artificial neural network (ANN) model for the prediction of measuring uncertainties in gamma-ray spectrometry was developed and optimized. A three-layer feed-forward ANN with back-propagation learning algorithm was used to model uncertainties of measurement of activity levels of eight radionuclid

Quantifying uncertainty in chemical syst
Quantifying uncertainty in chemical systems modeling
✍ M. T. Reagan; H. N. Najm; P. P. PΓ©bay; O. M. Knio; R. G. Ghanem πŸ“‚ Article πŸ“… 2005 πŸ› John Wiley and Sons 🌐 English βš– 249 KB

## Abstract This study compares two techniques for uncertainty quantification in chemistry computations, one based on sensitivity analysis and error propagation, and the other on stochastic analysis using polynomial chaos techniques. The two constructions are studied in the context of H~2~ο£ΏO~2~ ign

Robustness analysis of genetic regulator
Robustness analysis of genetic regulatory networks affected by model uncertainty
✍ Graziano Chesi πŸ“‚ Article πŸ“… 2011 πŸ› Elsevier Science 🌐 English βš– 339 KB

A fundamental problem in systems biology consists of investigating robustness properties of genetic regulatory networks (GRNs) with respect to model uncertainty. This paper addresses this problem for GRNs where the coefficients are rationally affected by polytopic uncertainty, and where the saturati