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Applications of Neural Networks in High Assurance Systems

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Applications of Neural Networks in High Assurance Systems Synopsis

"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.

About This Edition

ISBN: 9783642106897
Publication date:
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