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Overview""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. Full Product DetailsAuthor: Johann M.Ph. Schumann , Yan LiuPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: 2010 ed. Volume: 268 Dimensions: Width: 15.50cm , Height: 2.30cm , Length: 23.50cm Weight: 0.613kg ISBN: 9783642106897ISBN 10: 3642106897 Pages: 248 Publication Date: 28 February 2010 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |