Häftad, Engelska, 2012
Applications of Neural Networks in High Assurance Systems
Av Johann M.Ph. Schumann, Yan Liu
2129 kr
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Beskrivning
"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.
Produktinformation
- Utgivningsdatum: 2012-05-04
- Mått: 155 x 235 x 15 mm
- Vikt: 406 g
- Format: Häftad
- Språk: Engelska
- Serie: Studies in Computational Intelligence
- Antal sidor: 248
- Upplaga: 2010
- Förlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
- ISBN: 9783642262692
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