Authors:
- First book based on alternative standards
- Includes risk and hazard analysis
- Includes supplementary material: sn.pub/extras
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
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.
Authors and Affiliations
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Institute for Scientific Research, Inc., Fairmont, USA
Brian J. Taylor
Bibliographic Information
Book Title: Methods and Procedures for the Verification and Validation of Artificial Neural Networks
Authors: Brian J. Taylor
DOI: https://doi.org/10.1007/0-387-29485-6
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2006
Hardcover ISBN: 978-0-387-28288-6Published: 17 November 2005
Softcover ISBN: 978-1-4419-3935-7Published: 29 October 2010
eBook ISBN: 978-0-387-29485-8Published: 20 March 2006
Edition Number: 1
Number of Pages: XII, 278
Topics: Artificial Intelligence, Computer Communication Networks, User Interfaces and Human Computer Interaction, Computer Systems Organization and Communication Networks, Computer Imaging, Vision, Pattern Recognition and Graphics, Pattern Recognition