| dc.creator |
ERTOKUS, Guzide Pekcan |
|
| dc.creator |
SENER, Meltem |
|
| dc.creator |
Aktas, Ahmet Hakan |
|
| dc.date |
2006-11-30T22:00:00Z |
|
| dc.date.accessioned |
2020-10-06T10:15:01Z |
|
| dc.date.available |
2020-10-06T10:15:01Z |
|
| dc.identifier |
5adb0a81-dd27-488c-adfa-7a3417e56f76 |
|
| dc.identifier |
https://avesis.sdu.edu.tr/publication/details/5adb0a81-dd27-488c-adfa-7a3417e56f76/oai |
|
| dc.identifier.uri |
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/60981 |
|
| dc.description |
Artificial Neural Network (ANN) method was successfully applied to the multi-component analysis of the binary containing different substances in natural waters. In this application ANN method is suitable for the quantitative resolution of the mixtures of these substances and this approach doesn't require any separation and extraction steps. The method was tested by using various synthetic ternary mixtures and applied to the sample and successful results were obtained. |
|
| dc.language |
eng |
|
| dc.rights |
info:eu-repo/semantics/closedAccess |
|
| dc.title |
Artificial neural network calibration for the simultaneous determination of calcium and magnesium in natural waters |
|
| dc.type |
info:eu-repo/semantics/article |
|