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


"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.


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Product 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.

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Product Details

General

Imprint

Springer-Verlag

Country of origin

Germany

Series

Studies in Computational Intelligence, 268

Release date

February 2010

Availability

Expected to ship within 10 - 15 working days

First published

2010

Editors

,

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

Barcode

9783642106897

Categories

LSN

3-642-10689-7



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