"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: | 2012 |
Knygos puslapių skaičius: | 264 |
ISBN-10: | 3642262694 |
ISBN-13: | 9783642262692 |
Formatas: | Knyga minkštu viršeliu |
Kalba: | Anglų |
Žanras: | Maths for engineers |
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