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Full Product Details

Author:   Laura L. Pullum ,  Marjorie A. Darrah ,  Brian J. Taylor ,  Rebeccai Giorcelli
Publisher:   John Wiley and Sons Ltd
Imprint:   Wiley-Blackwell
Dimensions:   Width: 17.90cm , Height: 1.00cm , Length: 25.20cm
Weight:   0.268kg
ISBN:  

9780470084571

ISBN 10:   047008457
Pages:   134
Publication Date:   04 April 2007
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Out of Print
Availability:   Awaiting stock  

Table of Contents

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.

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Author Information

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.

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