1. Title, Journal and Authors
Title: A comparative analysis among computational intelligence techniques
for dissolved oxygen prediction in Delaware River
Journal: Geoscience Frontiers
Authors: Ehsan Olyaie, Hamid Zare Abyaneh, Ali Danandeh Mehr
In this study, various computational integration techniques (e.g., MLP, RBF, LGP, SVM) were compared to estimate DO concentrations. To achieve this objective, Delaware River Place in the United States was used to develop various models investigated in this study.
In this paper, the performance of SVM 0.99, LGP 0.96, MLP 0.91, and RBF 0.81 were shown through the coefficient of determination, and as a result, the SVM model had higher prediction accuracy compared to other models.
3. Originality and Creativity
4. Application to research
In this paper, a total of five combinations (T, T+pH, T+Q, T+pH+EC, T+pH+Q, T+pH+Q, T+pH+Q+EC) were created by combining pH, electric conductivity (EC), temperature (T), and river discharge volume (Q) as INPUT values.
R values, RMSE values, MARE values, and NS values were compared.
The SVM had the lowest RMSE, MARE values, and the highest R, NS values.
Ma, Kyoung Rim / M.S. program
Environmental Systems Engineering Lab.
School of Earth Sciences and Environmental Engineering
Gwangju Institute of Science and Technology
1 Oryong-dong Buk-gu Gwangju, 500-712, Korea