| Methods and Procedures for the Verification and Validation of Artificial Neural Networks 2006 Edition Contributor(s): Taylor, Brian J. (Editor) |
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ISBN: 0387282882 ISBN-13: 9780387282886 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: November 2005 Annotation: Neural networks are members of a class of software that have the potential to enable intelligent computational systems capable of simulating characteristics of biological thinking and learning. Currently no standards exist to verify and validate neural network-based systems. NASA Independent Verification and Validation Facility has contracted the Institute for Scientific Research, Inc. to perform research on this topic and develop a comprehensive guide to performing V& V on adaptive systems, with emphasis on neural networks used in safety-critical or mission-critical applications. Methods and Procedures for the Verification and Validation of Artificial Neural Networks is the culmination of the first steps in that research. This volume introduces some of the more promising methods and techniques used for the verification and validation (V& V) of neural networks and adaptive systems. A comprehensive guide to performing V& V on neural network systems, aligned with the IEEE Standard for Software Verification and Validation, will follow this book. |
| Additional Information |
| BISAC Categories: - Computers | Computer Science - Computers | Computer Vision & Pattern Recognition - Computers | Computer Graphics |
| Dewey: 006.32 |
| LCCN: 2005933711 |
| Physical Information: 0.69" H x 6.14" W x 9.21" (1.30 lbs) 278 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Neural networks are members of a class of software that have the potential to enable intelligent computational systems capable of simulating characteristics of biological thinking and learning. Currently no standards exist to verify and validate neural network-based systems. NASA Independent Verification and Validation Facility has contracted the Institute for Scientific Research, Inc. to perform research on this topic and develop a comprehensive guide to performing V&V on adaptive systems, with emphasis on neural networks used in safety-critical or mission-critical applications. Methods and Procedures for the Verification and Validation of Artificial Neural Networks is the culmination of the first steps in that research. This volume introduces some of the more promising methods and techniques used for the verification and validation (V&V) of neural networks and adaptive systems. A comprehensive guide to performing V&V on neural network systems, aligned with the IEEE Standard for Software Verification and Validation, will follow this book. |