نتایج جستجو برای: uncertainty modelling
تعداد نتایج: 279785 فیلتر نتایج به سال:
Chemical speciation refers to the distribution of an element amongst chemical species in a system. It is critical for understanding chemical toxicity, bioavailability, and environmental fate and transport. Despite the central importance of knowing the full speciation of a chemical in order to predict its behaviour in a system, it is generally not possible to determine a speciation analysis usin...
Water allocation models, sometimes referred to as water availability models, are critical tools for effective water resources management. Effective water allocation models allow policy-makers and managers to gain insight into the potential consequences of system changes, be they regulatory changes, infrastructure changes, climatic or other physical changes. Water allocation models are also used...
In engineering design, there is often considerable uncertainty in knowledge about the product, for example, the lift generated by a wing might be unknown until wind tunnel tests have been performed. Equally, at the start of a design project, there is considerable uncertainty about the direction the process will take, which tools will be necessary, which tasks will be successful, which aspects o...
This paper presents a proposal of measuring uncertain modelling referred to a geometrical model obtained from a Coordinate Measuring Machine (CMM). The measurement of objects by CMM is achieved considering a particular region of measurement described through a set of nitely many points which de nes the ideal reference mesh and it is exposed to, at least, three kinds of error: systematical, alea...
Let's read! We will often find out this sentence everywhere. When still being a kid, mom used to order us to always read, so did the teacher. Some books are fully read in a week and we need the obligation to support reading. What about now? Do you still love reading? Is reading only for you who have obligation? Absolutely not! We here offer you a new book enPDFd uncertainty analysis with high d...
Atmospheric thermodynamic data are gathered by high technology remote instruments such as radiosondes, giving rise to profiles that are usually modelled as functions depending only on height. The radiosonde balloons, however, drift away in the atmosphere resulting in not necessarily vertical but threedimensional (3D) trajectories. To model this kind of functional data, we introduce a “point bas...
Novel applications of formal modelling such as systems biology have highlighted the need to extend formal analysis techniques to domains with pervasive parametric uncertainty. Consequently, machine learning methods for parameter synthesis and uncertainty quantification are playing an increasingly significant role in quantitative formal modelling. In this paper, we introduce a toolbox for parame...
MOTIVATION To further our understanding of the mechanisms underlying biochemical pathways mathematical modelling is used. Since many parameter values are unknown they need to be estimated using experimental observations. The complexity of models necessary to describe biological pathways in combination with the limited amount of quantitative data results in large parameter uncertainty which prop...
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