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.
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