Issues Related to Parameter Estimation in Model Accuracy Assessment | Zendy

Thomas C. Henderson | Zendy; Narong Boonsirisumpun | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Issues Related to Parameter Estimation in Model Accuracy Assessment

Author(s) -

Thomas C. Henderson,

Narong Boonsirisumpun

Publication year - 2013

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2013.05.366

Subject(s) - computer science , metric (unit) , estimation theory , estimation , process (computing) , model validation , sampling (signal processing) , model parameter , data mining , algorithm , data science , systems engineering , operations management , filter (signal processing) , engineering , economics , computer vision , operating system

Model Accuracy Assessment (MAA) is an important part of the modern verification and validation process. This involves not only evaluation of a validation metric comparing experimental versus simulation system response quantities, but also the determination of the adequacy of the model for its intended use (see [1] for a detailed description). We describe here some issues related to the use of parameter estimation on MAA in the study of heat flow in a 2D metal plate. We consider seven parameter estimation techniques, and show that various factors such as length of sampling time, parameter estimation method, etc. impact the MAA. The ultimate goal is to improve MAA techniques in aircraft structural health care monitoring using Bayesian Computational Sensor Networks

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research