When Data Meets Math

When Data Meets Math

Following is an exploration of some of the emerging techniques that allow an engineer or scientist to use data acquired from existing dynamic systems to rapidly generate the types of mathematical models that not only predict future behavior of the system under consideration, but also dramatically re...

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Veröffentlicht in:Scientific Computing & Instrumentation 2005-07, Vol.22 (8), p.34
1. Verfasser: Goossens, Paul
Format: Artikel
Sprache:eng
Schlagworte:
Aircraft
Engineers
Information management
Innovations
Mathematical models
Optimization techniques
Software
Stochastic models
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Beschreibung
Zusammenfassung:Following is an exploration of some of the emerging techniques that allow an engineer or scientist to use data acquired from existing dynamic systems to rapidly generate the types of mathematical models that not only predict future behavior of the system under consideration, but also dramatically reduce the amount of data that needs to be analyzed.These "data reduction" techniques condense large amounts of data to a handful of parameters, typically used for predictive modeling of the source of the...
ISSN:1930-5753
1930-6156