Detection of material property errors in handbooks and databases using artificial neural networks with hidden correlations
The authors have discovered a systematic, intelligent and potentially automatic method to detect errors in handbooks and stop their transmission using unrecognised relationships between materials properties. The scientific community relies on the veracity of scientific data in handbooks and database...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2010-11.
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| Subjects: | |
| Online Access: | Get fulltext |