ECOPERSIA
ECOPERSIA
ECOPERSIA
Basic Sciences
http://ecopersia.modares.ac.ir
1
admin
2322-2700
2538-2152
10.22034/ecopersia
en
jalali
1398
1
1
gregorian
2019
4
1
7
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online
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fulltext
en
Estimation of Zn Bonds Using Multi-Layer Perceptron (MLP) Artificial Neural Network Method in Chahnimeh, Zabol
<div style="text-align: justify;"><strong>Aims</strong><strong>:</strong> Artificial Neural Networks (ANNs) are powerful tools that are commonly used today in prediction deposit-related sciences. The research aimed at predicting various five links of heavy metals using the properties of deposit.<br>
<strong>Materials and Methods:</strong> 180 samples of surface sediments were taken from the Chahnimeh reservoir and they were transferred to under standard conditions. Total Zinc concentration, deposit properties and Zinc five bonds with deposit were measured. Efficiency of the ANN and Perceptron (MLP) model to estimate the Zn following the measurement of parameters in the laboratory.<br>
<strong>Findings</strong><strong>:</strong> Five links were predicted with the aid of ANNs and MLP model. Deposit properties and total concentrations of heavy metals were considered as input and each of bonds were considered as output.<br>
<strong>Conclusion</strong>: Ultimately, the ANN showed good performance in the predicting the determination of coefficients or R<sup>2</sup> 0.98 to 1) and root mean square error or RMSE (0.7 to 0.01).</div>
Artificial Neural Networks, Heavy Metals, Sediment Pollution, Chahnimeh
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http://ecopersia.modares.ac.ir/browse.php?a_code=A-10-27828-1&slc_lang=en&sid=24
S.
Javan
1003194753284600117444
1003194753284600117444
No
Environmental Health Department, Medical Sciences Faculty, Neyshabur University of Medical Sciences, Neyshabur, Iran
A.
Gholamalizadeh Ahangar
ahangar@uoz.ac.ir
1003194753284600117445
1003194753284600117445
Yes
Soil Sciences Department, Soil & Water Engineering Faculty, Zabol University, Zabol, Iran
A.H.
Hassani
1003194753284600117446
1003194753284600117446
No
Environmental Engineering Department, Environment & Energy Faculty, Tehran Science & Research Branch, Islamic Azad University, Tehran, Iran
J.
Soltani
1003194753284600117447
1003194753284600117447
No
Water Engineering Department, Water Engineering Faculty, Abureyhan Campus, University of Tehran, Tehran, Iran