Applications of Neural Networks in High Assurance Systems

"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 ki...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Awdur Corfforaethol: SpringerLink (Online service)
Awduron Eraill: Schumann, Johann M.Ph. (Golygydd, http://id.loc.gov/vocabulary/relators/edt), Liu, Yan. (Golygydd, http://id.loc.gov/vocabulary/relators/edt)
Fformat: Electronig eLyfr
Iaith:English
Cyhoeddwyd: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Rhifyn:1st ed. 2010.
Cyfres:Studies in Computational Intelligence, 268
Pynciau:
Mynediad Ar-lein:https://doi.org/10.1007/978-3-642-10690-3
Tagiau: Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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Crynodeb:"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.
Disgrifiad Corfforoll:XVI, 248 p. 99 illus. online resource.
ISBN:9783642106903
ISSN:1860-949X ;