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Applications of Neural Networks in High Assurance Systems (Hardcover, 2010 ed.) Loot Price: R4,379
Discovery Miles 43 790
Applications of Neural Networks in High Assurance Systems (Hardcover, 2010 ed.): Johann M. Ph. Schumann, Yan Liu

Applications of Neural Networks in High Assurance Systems (Hardcover, 2010 ed.)

Johann M. Ph. Schumann, Yan Liu

Series: Studies in Computational Intelligence, 268

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Loot Price R4,379 Discovery Miles 43 790 | Repayment Terms: R410 pm x 12*

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"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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Computational Intelligence, 268
Release date: February 2010
First published: 2010
Editors: Johann M. Ph. Schumann • Yan Liu
Dimensions: 235 x 155 x 23mm (L x W x T)
Format: Hardcover
Pages: 248
Edition: 2010 ed.
ISBN-13: 978-3-642-10689-7
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General
Books > Professional & Technical > Transport technology > Automotive technology > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-642-10689-7
Barcode: 9783642106897

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