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Verification and validation of neural networks for aerospace systems (Document No: 20020070826)
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Schumann, Johann Nelson, Stacy Mackall, Dale |
| Copyright Year | 2002 |
| Description | The Dryden Flight Research Center V&V working group and NASA Ames Research Center Automated Software Engineering (ASE) group collaborated to prepare this report. The purpose is to describe V&V processes and methods for certification of neural networks for aerospace applications, particularly adaptive flight control systems like Intelligent Flight Control Systems (IFCS) that use neural networks. This report is divided into the following two sections: Overview of Adaptive Systems and V&V Processes/Methods. |
| File Size | 5300455 |
| Page Count | 90 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20020070826 |
| Archival Resource Key | ark:/13960/t49p80q20 |
| Language | English |
| Publisher Date | 2002-07-01 |
| Access Restriction | Open |
| Subject Keyword | Computer Programming And Software Computer Programming Neural Nets Proving Flight Control Adaptive Control Aerospace Systems Certification Aerospace Engineering Software Engineering Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
