Location

Snowmass Village, CO

Start Date

1-1-1995 12:00 AM

Description

This paper arose from the need to quantitatively evaluate performance of a neural network example used to distinguish corrosion from noise. Although this is a simple GO/NO-GO situation, many NDE systems can be reduced to this level; for example, corrosion/no corrosion, crack/no crack, dangerous crack/ineffective crack. Even when the size of a crack is to be determined, the instrument or operator must first be able to detect it. Many NDE managers would probably prefer this GO/NO-GO decision since it can easily be verified, is likely to be more accurate, predictable and fast

Volume

14B

Chapter

Chapter 8: NDE Systems, Reliability, and Transferability

Section

Reliability and Transferability

Pages

2405-2412

DOI

10.1007/978-1-4615-1987-4_307

Language

en

File Format

application/pdf

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Jan 1st, 12:00 AM

Quantitative Evaluation of Neural Networks for NDE Applications Using the ROC Curve

Snowmass Village, CO

This paper arose from the need to quantitatively evaluate performance of a neural network example used to distinguish corrosion from noise. Although this is a simple GO/NO-GO situation, many NDE systems can be reduced to this level; for example, corrosion/no corrosion, crack/no crack, dangerous crack/ineffective crack. Even when the size of a crack is to be determined, the instrument or operator must first be able to detect it. Many NDE managers would probably prefer this GO/NO-GO decision since it can easily be verified, is likely to be more accurate, predictable and fast