Guidance for the Verification and Validation of Neural Networks
Author | : Laura L. Pullum |
Publisher | : John Wiley & Sons |
Total Pages | : 146 |
Release | : 2007-03-09 |
ISBN-10 | : 9780470084571 |
ISBN-13 | : 047008457X |
Rating | : 4/5 (71 Downloads) |
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.