Applications of Neural Networks in High Assurance Systems

By Johann Schumann

"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.

• Format: Hardcover
• Language: English
• ISBN: 3642106897
• ISBN13: 9783642106897
• Release Date: February 2010
• Publisher: Springer
• Length: 248 Pages
• Weight: 1.10 lbs.
• Dimensions: 0.9" x 6.2" x 9.2"