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Applications of Neural Networks in High Assurance Systems

Applications of Neural Networks in High Assurance Systems

Johann Schumann, Pramod Gupta, Yan Liu (auth.), Johann Schumann, Yan Liu (eds.)
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"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.

Year:
2010
Edition:
1
Publisher:
Springer-Verlag Berlin Heidelberg
Language:
english
Pages:
248
ISBN 10:
3642106900
ISBN 13:
9783642106903
Series:
Studies in Computational Intelligence 268
File:
PDF, 6.30 MB
IPFS:
CID , CID Blake2b
english, 2010
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