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Using neural networks to predict financial reporting fraud: Part 2

✍ Scribed by Michael J. Cerullo; Virginia Cerullo


Book ID
114391946
Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
321 KB
Volume
1999
Category
Article
ISSN
1361-3723

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## Abstract In our earlier work, we have demonstrated that it is possible to characterize binary mixtures using single component descriptors by applying various mixing rules. We also showed that these methods were successful in building predictive QSPR models to study various mixture properties of