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Beschreibung
"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.
Details
| Verlag | Springer Berlin |
| Ersterscheinung | 28. Februar 2010 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 613 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783642106897 |
| Seiten | 248 |