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| Development of Methodologies for IV&V Neural Networks | |
| Point of Contact |
Brian Taylor btaylor@isr.us |
| Dates | May 2002 - September 2005 |
| Problem | The bulk of Independent Verification and Validation (IV&V) research of non-deterministic software control systems such as Adaptive Flight Controllers (AFC's) addresses NNs in well-behaved and constrained environments such as simulations and strict proces s control. However, neither substantive research, nor effective IV&V techniques have been found to address AFC's learning in real-time and adapting to live flight conditions. |
| Objective | ISR has reviewed recent literature related to the subject of V&V for the general case for on-line, NN for adaptive flight controls. This literature is summarized in Appendix A. |
| Results |
Literature Survey of Current V&V Technology.pdf Preliminary Methodology White Paper.pdf Methods and Procedures for the Independent Verification and Validation of Neural Networks Paper.zip Methods and Procedures for the Independent Verification and Validation of Neural Networks Presentation.ppt Facility Initiative Technical Presentation 2005.ppt Final Project Report and Presentation.pdf |
| Keywords | IV&V, Neural Networks |
| Categories |
Domain-Specific Analysis |
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Curator: Josh Stonestreet NASA Official: Lisa Montgomery |
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