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.
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Format: | article biblioteca |
Language: | English |
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2019
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Subjects: | Biology, Atherina boyeri, sand smelt, biometric properties, Yamula Dam Lake, ANNs, |
Online Access: | http://hdl.handle.net/1834/41270 |
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dig-aquadocs-1834-412702021-07-24T03:37:16Z Artificial neural networks model biometric features of marine fish sand smelt Benzer, Semra Benzer, Recep Biology Atherina boyeri sand smelt biometric properties Yamula Dam Lake ANNs 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. Higher Education Commission of Pakistan 2021-06-24T18:43:24Z 2021-06-24T18:43:24Z 2019 article TRUE 1019-8415 http://hdl.handle.net/1834/41270 en https://www.pakjmsuok.com application/pdf application/pdf 115-126 pjms_ku@yahoo.com http://aquaticcommons.org/id/eprint/27097 25017 2020-11-12 05:12:13 27097 University of Karachi. Marine Reference Collection and Resource Centre |
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Biology Atherina boyeri sand smelt biometric properties Yamula Dam Lake ANNs Biology Atherina boyeri sand smelt biometric properties Yamula Dam Lake ANNs |
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Biology Atherina boyeri sand smelt biometric properties Yamula Dam Lake ANNs Biology Atherina boyeri sand smelt biometric properties Yamula Dam Lake ANNs Benzer, Semra Benzer, Recep Artificial neural networks model biometric features of marine fish sand smelt |
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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. |
format |
article |
topic_facet |
Biology Atherina boyeri sand smelt biometric properties Yamula Dam Lake ANNs |
author |
Benzer, Semra Benzer, Recep |
author_facet |
Benzer, Semra Benzer, Recep |
author_sort |
Benzer, Semra |
title |
Artificial neural networks model biometric features of marine fish sand smelt |
title_short |
Artificial neural networks model biometric features of marine fish sand smelt |
title_full |
Artificial neural networks model biometric features of marine fish sand smelt |
title_fullStr |
Artificial neural networks model biometric features of marine fish sand smelt |
title_full_unstemmed |
Artificial neural networks model biometric features of marine fish sand smelt |
title_sort |
artificial neural networks model biometric features of marine fish sand smelt |
publishDate |
2019 |
url |
http://hdl.handle.net/1834/41270 |
work_keys_str_mv |
AT benzersemra artificialneuralnetworksmodelbiometricfeaturesofmarinefishsandsmelt AT benzerrecep artificialneuralnetworksmodelbiometricfeaturesofmarinefishsandsmelt |
_version_ |
1756080139371806720 |