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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Main Authors: Benzer, Semra, Benzer, Recep
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
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spelling 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
institution UNESCO
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-aquadocs
tag biblioteca
region Europa del Oeste
libraryname Repositorio AQUADOCS
language English
topic Biology
Atherina boyeri
sand smelt
biometric properties
Yamula Dam Lake
ANNs
Biology
Atherina boyeri
sand smelt
biometric properties
Yamula Dam Lake
ANNs
spellingShingle 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
description 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
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