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Guidance for the Verification and Validation of Neural Networks - Laura L. Pullum, Marjorie A. Darrah, Brian J. Taylor, Rebeccai Giorcelli, Kareem Ammar

Guidance for the Verification and Validation of Neural Networks

Buch | Softcover
134 Seiten
2007
Wiley-Blackwell (Verlag)
978-0-470-08457-1 (ISBN)
CHF 167,15 inkl. MwSt
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Guidance for the Verification and Validation of Neural Networks is a supplement to the IEEE Standard for Software Verification and Validation, IEEE Std 1012-1998.
This book provides guidance on the verification and validation of neural networks/adaptive systems. Considering every process, activity, and task in the lifecycle, it supplies methods and techniques that will help the developer or V&V practitioner be confident that they are supplying an adaptive/neural network system that will perform as intended. Additionally, it is structured to be used as a cross-reference to the IEEE 1012 standard.

Dr. Laura L. Pullum is a Principal Research Scientist and Technical Director at Lockheed Martin in Eagan, MN. Her areas of research and development include software and system dependability, verification and validation, adaptive systems, and automated reasoning. Brian J. Taylor served as a Principal Member Research Staff for the Institute for Scientific Research, working with a research team on the development, implementation, and flight qualification of Intelligent Flight Control Systems. He is currently a PhD candidate. Dr. Marjorie A. Darrah is a Principal Scientist for the West Virginia High Technology Consortium Foundation. Her areas of research and development include virtual reality, education, data mining, software verification and validation, algorithm development, and neural networks.

Preface. Acknowledgements. 1 Overview. 1.1 Definitions and Conventions. 1.2 Organization of the Book. 2 Areas of Consideration for Adaptive Systems. 2.1 Safety-Critical Adaptive System Example and Experience. 2.2 Hazard Analysis. 2.3 Requirements for Adaptive Systems. 2.4 Rule Extraction. 2.5 Modified Life Cycle for Developing Neural Networks. 2.6 Operational Monitors. 2.7 Testing Considerations. 2.8 Training Set Analysis. 2.9 Stability Analysis 2.10 Configuration Management of Neural Network Training and Design. 2.11 Simulation of Adaptive Systems. 2.12 Neural Network Visualization. 2.13 Adaptive System and Neural Network Selection. 3 Verification and Validation of Neural Networks-Guidance. 3.1 Process: Management. 3.2 Process: Acquisition. 3.3 Process: Supply. 3.4 Process: Development. 3.5 Process: Operation. 3.6 Process: Maintenance. 4 Recent Changes to IEEE Std 1012. Appendix A: References. Appendix B: Acronyms. Appendix C: Definitions.

Erscheint lt. Verlag 4.4.2007
Reihe/Serie Emerging Technologies
Zusatzinfo Illustrations
Verlagsort Hoboken
Sprache englisch
Maße 179 x 252 mm
Gewicht 268 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
ISBN-10 0-470-08457-X / 047008457X
ISBN-13 978-0-470-08457-1 / 9780470084571
Zustand Neuware
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