Applications of Neural Networks in High Assurance Systems Contributor(s): Schumann, Johann M. Ph. (Editor), Liu, Yan (Editor) |
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ISBN: 3642106897 ISBN-13: 9783642106897 Publisher: Springer OUR PRICE: $161.49 Product Type: Hardcover - Other Formats Published: February 2010 |
Additional Information |
BISAC Categories: - Mathematics | Applied - Computers | Intelligence (ai) & Semantics - Technology & Engineering | Automotive |
Dewey: 004 |
LCCN: 2009942253 |
Series: Studies in Computational Intelligence |
Physical Information: 0.9" H x 6.2" W x 9.2" (1.10 lbs) 248 pages |
Descriptions, Reviews, Etc. |
Publisher Description: "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. |