Guidance for the Verification and Validation of Neural Networks
Download or Read eBook Guidance for the Verification and Validation of Neural Networks PDF 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.
| 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) |
Book Synopsis Guidance for the Verification and Validation of Neural Networks by : Laura L. Pullum
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.
