Artificial neural networks model biometric features of marine fish sand smelt
In this study was investigated some biometric properties of the sand smelt with ANN’s, Atherina boyeri Risso, 1810, population in Yamula Dam Lake. Twenty-three morphometric characters of samples were measured. The total length of individuals which were caught between 6.40 and 10.20 cm, and their weight (W) were ranged between 1.50 and 7.31 g. The effect of Artificial Neural Networks was investigated in predicting the statistical of fishery industry. The present study provides the first information on the biometric properties of Atherina boyeri in Yamula Dam Lake by Artificial Neural Networks.
Saved in:
| Main Authors: | , |
|---|---|
| Format: | article biblioteca |
| Language: | English |
| Published: |
2019
|
| Subjects: | Biology, Atherina boyeri, sand smelt, biometric properties, Yamula Dam Lake, ANNs, |
| Online Access: | http://hdl.handle.net/1834/41270 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | In this study was investigated some biometric properties of the sand smelt with ANN’s, Atherina boyeri Risso, 1810, population in Yamula Dam Lake. Twenty-three morphometric characters of samples were measured. The total length of individuals which were caught between 6.40 and 10.20 cm, and their weight (W) were ranged between 1.50 and 7.31 g. The effect of Artificial Neural Networks was investigated in predicting the statistical of fishery industry. The present study provides the first information on the biometric properties of Atherina boyeri in Yamula Dam Lake by Artificial Neural Networks. |
|---|