"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.
ISBN: | 9783642106897 |
Publication date: | 28th February 2010 |
Author: | Johann MPh Schumann, Yan Liu |
Publisher: | Springer an imprint of Springer Berlin Heidelberg |
Format: | Hardback |
Pagination: | 248 pages |
Series: | Studies in Computational Intelligence |
Genres: |
Maths for engineers Production and industrial engineering Automotive technology and trades Artificial intelligence |