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International efforts have been launched to save the endangered Urmia Lake as one of the largest natural lake worldwide. Ajichay River located in East Azarbaijan province, Iran, is one of the main rivers discharging into this lake and, thus, its water quality can directly affect the Urmia Lake ecosystem and life. In this research, we develop and propose two new numerical packages on the basis of Artificial Neural Network (ANN) and Supporting Vector Machine (SVM) models to estimate the monthly ...
Prediction of Water Quality of Ajichay River using developed ...
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developed Artificial Neural Network and Supporting Vector Machine Models.
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Artificial Life and Computational Intelligence: First Australasian ... - Google Books Result
https://books.google.com/books?isbn=3319148036
Stephan Chalup, Alan D. Blair, Marcus Randall - 2015 - Computers
4 Conclusions SSL is one of the most important water quality parameter which
directly influences the ... The LSSVM model was used to predict 1-month-ahead
Aji-Chay River SSL values. ... Artificial neural networks in hydrology, II:
Hydrologic applications. ... sediment relationship using least square support
vector machine.A novel SVM-GCM model for prediction of surface tension of some ...
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Network and Supporting Vector Machine Models · Prediction of Water Quality of ...
Comparative evaluation of artificial intelligence models for prediction ...
link.springer.com/article/10.1007/s40808-016-0132-8
The use of these relations is often the only way to estimate strength parameters ...
(2010) conducted artificial neural network (ANN) model to predict the UCS and ...
(ANFIS) and support vector machine (SVM) to predict the UCS of travertine rocks
in ...... models for water quality prediction: a case study in Aji-Chay River, Iran.
یکشنبه 11 مهر 1395 ساعت 14:53