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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| Korporativní autor: | |
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| Další autoři: | , |
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | English |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
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| Vydání: | 1st ed. 2010. |
| Edice: | Studies in Computational Intelligence,
268 |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/978-3-642-10690-3 |
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| Shrnutí: | "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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| Fyzický popis: | XVI, 248 p. 99 illus. online resource. |
| ISBN: | 9783642106903 |
| ISSN: | 1860-949X ; |