| Title:
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GUIDANCE FOR THE VERIFICATION AND VALIDATION OF NEURAL NETWORKS
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| By: |
Laura L. Pullum, Marjorie A. Darrah, Brian J. Taylor |
| Format: |
Paperback |
| List price:
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£92.95 |
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We believe that this item is permanently unavailable, and so we cannot source
it.
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| ISBN 10: |
047008457X |
| ISBN 13: |
9780470084571 |
| Publisher: |
JOHN WILEY AND SONS LTD |
| Pub. date: |
4 April, 2007 |
| Series: |
Emerging Technologies |
| Pages: |
134 |
| Description: |
Guidance for the Verification and Validation of Neural Networks is a supplement to the IEEE Standard for Software Verification and Validation, IEEE Std 1012-1998. |
| Synopsis: |
This book provides guidance on the verification and validation of neural networks/adaptive systems. Considering every process, activity, and task in the lifecycle, it supplies methods and techniques that will help the developer or V&V practitioner be confident that they are supplying an adaptive/neural network system that will perform as intended. Additionally, it is structured to be used as a cross-reference to the IEEE 1012 standard. |
| Illustrations: |
Illustrations |
| Publication: |
US |
| Imprint: |
Wiley-Blackwell |
| Returns: |
Returnable |