soda2017

ID 21429
Author
AuthorYear soda2017
Title
Journal
Volume
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Pages
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Errata
Epub Date
SourceYear 2017
DataSource Shark-references
doi 10.1002/jmor.20626
Reference SODA, K.J. & SLICE, D.E. & NAYLOR, G.J.P. (2017) Artificial neural networks and geometric morphometric methods as a means for classification: A case-study using teeth from Carcharhinus sp. (Carcharhinidae). Journal of Morphology, 278 (1): 131
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