ESTIMATING SUSPENDED SEDIMENT CONCENTRATION BY A NEAURAL DIFFERENTIAL EVOLUTION AND COMPARISION IT WITH ANFIS AND RBF MODELS (CASE STUDY: GIVI CHAY RIVER)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

RAJABI MASOUMEH; FEYZOLAHPOUR MEHDI; ROOSTAIEE SHAHRAM

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Geography and Development Year:2015 | Volume:13 | Issue:39 Page(s): 1-16

Download Full-Text

Persian Verion

View:

1,024

Download:

Cites:

Information Journal Paper

Title

ESTIMATING SUSPENDED SEDIMENT CONCENTRATION BY A NEAURAL DIFFERENTIAL EVOLUTION AND COMPARISION IT WITH ANFIS AND RBF MODELS (CASE STUDY: GIVI CHAY RIVER)

Author(s)

RAJABI MASOUMEH | FEYZOLAHPOUR MEHDI | ROOSTAIEE SHAHRAM | Issue Writer Certificate

Keywords

NEURAL DIFFERENTIAL EVOLUTIONQ2

MULTI-LAYER PERCEPTRON MODELQ2

GENERALIZED REGRESSION NEURAL NETWORKQ2

SEDIMENT RATING CURVESQ2

GIVI CHAY RIVERQ2

Abstract

In this study, NEURAL DIFFERENTIAL EVOLUTION (NDE) models were used to estimate suspended sediment concentration. NDE models are improved by combining two methods, neural networks and differential evolution. At the first part of the study, the NEURAL DIFFERENTIAL EVOLUTION is trained using daily river flow and suspended sediment data belonging to GIVI CHAY RIVER at the northwest of Iran and various combinations of current daily stream flows, past daily stream flows and suspended sediment data are used as inputs to the NEURAL DIFFERENTIAL EVOLUTION model so as to estimate current suspended sediment. In the second part of the study, the suspended sediment estimations provided by NDE model are compared with adaptive neuro- fuzzy inference system (ANFIS) and radial basis function (RBF) results. The Root mean squared error (RMSE) and the determination coefficient (R2) are used as comparison criteria. Obtained results demonstrate that NDE and ANFIS are in good agreement with the observed suspended sediment concentration; while they depict better results than RBF methods. For example, in GIVI CHAY RIVER station, the determination coefficient (R2) is 0.9586 for NDE model, while it is 0.9152 and 0.8872 for ANFIS and RBF models, respectively. However, for the estimation of maximum sediment peak, the NDE was mostly found to be better than the ANFIS and the other techniques. The results also indicate that the NDE may provided better performance than the ANFIS and RBF in the estimation of the total sediment load (Re= -47%).

Cites

PERFORMANCE EVALUATION OF M5 TREE MODEL AND SUPPORT VECTOR REGRESSION METHODS IN SUSPENDED SEDIMENT LOAD MODELING

References

No record.

Cite

APA: Copy

RAJABI, MASOUMEH, FEYZOLAHPOUR, MEHDI, & ROOSTAIEE, SHAHRAM. (2015). ESTIMATING SUSPENDED SEDIMENT CONCENTRATION BY A NEAURAL DIFFERENTIAL EVOLUTION AND COMPARISION IT WITH ANFIS AND RBF MODELS (CASE STUDY: GIVI CHAY RIVER). GEOGRAPHY AND DEVELOPMENT, 13(39), 1-16. SID. https://sid.ir/paper/77027/en

Vancouver: Copy

RAJABI MASOUMEH, FEYZOLAHPOUR MEHDI, ROOSTAIEE SHAHRAM. ESTIMATING SUSPENDED SEDIMENT CONCENTRATION BY A NEAURAL DIFFERENTIAL EVOLUTION AND COMPARISION IT WITH ANFIS AND RBF MODELS (CASE STUDY: GIVI CHAY RIVER). GEOGRAPHY AND DEVELOPMENT[Internet]. 2015;13(39):1-16. Available from: https://sid.ir/paper/77027/en

IEEE: Copy

MASOUMEH RAJABI, MEHDI FEYZOLAHPOUR, and SHAHRAM ROOSTAIEE, “ESTIMATING SUSPENDED SEDIMENT CONCENTRATION BY A NEAURAL DIFFERENTIAL EVOLUTION AND COMPARISION IT WITH ANFIS AND RBF MODELS (CASE STUDY: GIVI CHAY RIVER),” GEOGRAPHY AND DEVELOPMENT, vol. 13, no. 39, pp. 1–16, 2015, [Online]. Available: https://sid.ir/paper/77027/en

Related Journal Papers