Paper
19 August 1993 Foundation for neural network verification and validation
Gerald E. Peterson
Author Affiliations +
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gerald E. Peterson "Foundation for neural network verification and validation", Proc. SPIE 1966, Science of Artificial Neural Networks II, (19 August 1993); https://doi.org/10.1117/12.152651
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CITATIONS
Cited by 14 scholarly publications.
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KEYWORDS
Neural networks

Error analysis

Artificial neural networks

Inspection

Standards development

Network architectures

Control systems

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