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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.
| Serija: | Studies in Computational Intelligence |
| Leidėjas: | Springer Berlin Heidelberg |
| Išleidimo metai: | 2010 |
| Knygos puslapių skaičius: | 264 |
| ISBN-10: | 3642106897 |
| ISBN-13: | 9783642106897 |
| Formatas: | 241 x 160 x 21 mm. Knyga kietu viršeliu |
| Kalba: | Anglų |
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