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Proceedings Paper

Foundation for neural network verification and validation
Author(s): Gerald E. Peterson
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Paper Abstract

Although neural networks are gaining wide acceptance as a vehicle for intelligent software, their use will be limited unless good procedures for their evaluation, including verification and validation, can be developed. Since neural networks are created using a different methodology from conventional software, extensive changes in evaluation concepts and techniques are necessary. This paper proposes some clarifying concepts related to evaluation, and a process for developing neural networks in which the role of evaluation is emphasized. Some ideas about how the various evaluation activities may be performed are also described.

Paper Details

Date Published: 19 August 1993
PDF: 12 pages
Proc. SPIE 1966, Science of Artificial Neural Networks II, (19 August 1993); doi: 10.1117/12.152651
Show Author Affiliations
Gerald E. Peterson, McDonnell Douglas Aerospace (United States)


Published in SPIE Proceedings Vol. 1966:
Science of Artificial Neural Networks II
Dennis W. Ruck, Editor(s)

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