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Applications of Neural Networks in High Assurance Systems

Springer Berlin,
E-Book ( PDF mit Adobe DRM )
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This is the first book to directly address a key part of neural network technology: state-of-the-art methods used to pass the tough verification and validation standards required in many safety-critical applications.

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Titel: Applications of Neural Networks in High Assurance Systems
Autoren/Herausgeber: Johann M.Ph. Schumann, Yan Liu (Hrsg.)
Aus der Reihe: Studies in Computational Intelligence
Ausgabe: 2010

ISBN/EAN: 9783642106903

Seitenzahl: 248
Produktform: E-Book
Sprache: Englisch

"Applications of Neural Networks in High Assurance Systems" is the first book directly addressing a key part of neural network technology: methods used to pass the tough verification and validation (V&V) standards required in many safety-critical applications. The book presents what kinds of evaluation methods have been developed across many sectors, and how to pass the tests. A new adaptive structure of V&V is developed in this book, different from the simple six sigma methods usually used for large-scale systems and different from the theorem-based approach used for simplified component subsystems.

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