Evaluating model accuracy for model-based reasoning
- Author:
- Chien, Steve
- Published:
- JAN 1, 1992.
- Physical Description:
- 1 electronic document
- Additional Creators:
- Roden, Joseph
Online Version
- hdl.handle.net , Connect to this object online.
- Restrictions on Access:
- Unclassified, Unlimited, Publicly available.
Free-to-read Unrestricted online access - Summary:
- Described here is an approach to automatically assessing the accuracy of various components of a model. In this approach, actual data from the operation of a target system is used to drive statistical measures to evaluate the prediction accuracy of various portions of the model. We describe how these statistical measures of model accuracy can be used in model-based reasoning for monitoring and design. We then describe the application of these techniques to the monitoring and design of the water recovery system of the Environmental Control and Life Support System (ECLSS) of Space Station Freedom.
- Other Subject(s):
- Collection:
- NASA Technical Reports Server (NTRS) Collection.
- Note:
- Document ID: 19920014119.
Accession ID: 92N23362.
NASA. Goddard Space Flight Center, The 1992 Goddard Conference on Space Applications of Artificial Intelligence; p 71-76. - Terms of Use and Reproduction:
- No Copyright.
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