Guidance For The Verification And Validation Of Neural Networks

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Guidance for the Verification and Validation of Neural Networks

Guidance for the Verification and Validation of Neural Networks
Author :
Publisher : John Wiley & Sons
Total Pages : 146
Release :
ISBN-10 : 9780470084571
ISBN-13 : 047008457X
Rating : 4/5 (57X Downloads)

Book Synopsis Guidance for the Verification and Validation of Neural Networks by : Laura L. Pullum

Download or read book Guidance for the Verification and Validation of Neural Networks written by Laura L. Pullum and published by John Wiley & Sons. This book was released on 2007-03-09 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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