A comparison between neural networks and decision trees based on data from industrial radiographic testing

Pattern Recognition Letters

Volumn 22, Issue 1, 2001, Pages 47-54

  Perner, Petra ^a   Zscherpel, Uwe ^b   Jacobsen, Carsten ^b  

^a Institute of Computer Vision and Applied Computer Sciences   (Germany)

^b BAM FEDERAL INSTITUTE FOR MATERIALS RESEARCH AND TESTING   (Germany)

Author keywords

Decision tree induction; Machine learning; Neural networks; Performance analysis; Pipe inspection; Radiographic testing

Indexed keywords

DEFECT; IMAGE ANALYSIS; NEURAL NETWORK; RADIOGRAPHY; WELDING;

ANALOG TO DIGITAL CONVERSION; DATA STRUCTURES; DECISION SUPPORT SYSTEMS; FEATURE EXTRACTION; NEURAL NETWORKS; TREES (MATHEMATICS); X RAY RADIOGRAPHY;

DECISION TREES;

LEARNING SYSTEMS;

EID: 0034746283     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(00)00098-2     Document Type: Article

References (16)

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