Applications of Neural Networks in High Assurance Systems
Download or Read eBook Applications of Neural Networks in High Assurance Systems PDF written by Johann M.Ph. Schumann and published by Springer Science & Business Media. This book was released on 2010-02-28 with total page 255 pages. Available in PDF, EPUB and Kindle.
Author | : Johann M.Ph. Schumann |
Publisher | : Springer Science & Business Media |
Total Pages | : 255 |
Release | : 2010-02-28 |
ISBN-10 | : 9783642106897 |
ISBN-13 | : 3642106897 |
Rating | : 4/5 (97 Downloads) |
Book Synopsis Applications of Neural Networks in High Assurance Systems by : Johann M.Ph. Schumann
Book excerpt: "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.