Verification and Validation of Neural Networks for Aerospace Systems
Dale A. Mackall, Stacy D. Nelson, Johann M. Ph. Schumann · NASA STI Repository (National Aeronautics and Space Administration) · 2002
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: 1) Overview of Adaptive Systems; and 2) V&V Processes/Methods.