Applications of Neural Networks in High Assurance Systems
Applications of Neural Networks in High Assurance Systems By Johann Schumann, Pramod Gupta, Yan Liu (auth.), Johann Schumann, Yan Liu (eds.)
2010 | 248 Pages | ISBN: 3642106897 | PDF | 7 MB
2010 | 248 Pages | ISBN: 3642106897 | PDF | 7 MB
"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.