EVALUATION OF THE APPLICATION OF ARTIFICIAL NEURAL NETWORKS AND ADAPTIVE NEURO-FUZZY INFERENCE SYSTEMS FOR RAINFALL-RUNOFF MODELLING IN ZAYANDEH_ROOD DAM BASIN

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.

DASTORANI MOHAMMAD TAGHI; SHARIFI DARANI HAMED; TALEBI ALI; MOGHADAM NIA ALIREZA

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

Journal Paper

Paper Information

Journal: WATER AND WASTEWATER Year:2011 | Volume:22 | Issue:4 (80) Page(s): 114-125

Download Full-Text

Persian Verion

View:

1,497

Download:

Cites:

Information Journal Paper

Title

EVALUATION OF THE APPLICATION OF ARTIFICIAL NEURAL NETWORKS AND ADAPTIVE NEURO-FUZZY INFERENCE SYSTEMS FOR RAINFALL-RUNOFF MODELLING IN ZAYANDEH_ROOD DAM BASIN

Author(s)

DASTORANI MOHAMMAD TAGHI | SHARIFI DARANI HAMED | TALEBI ALI | MOGHADAM NIA ALIREZA | Issue Writer Certificate

Keywords

ARTIFICIAL NEURAL NETWORKQ2

ADAPTIVE NEURO – FUZZY INFERENCE SYSTEMQ3

RAINFALL-RUNOFFQ2

ZAYANDEH_ROOD DAM CATCHMENTQ3

GENETIC ALGORITHMQ2

GAMMA TESTQ2

Abstract

During recent few decades, due to the importance of the availability of water, and therefore the necesity of predicting run off resulted from rain fall there has been an increase in developing and implementation of new suitable method for prediction of run off using precipitation data. One of these approaches that have been developed in several areas of sciences including water related fields, is soft computing techniques such as ARTIFICIAL NEURAL NETWORKs and fuzzy logic systems. This research was designed to evaluate the applicability of ARTIFICIAL NEURAL NETWORK and adaptive neuro–fuzzy inference system to model RAINFALL-RUNOFF process in Zayandeh_rood dam basin. It must be mentioned that, data have been analysed using Wingamma software, to select appropriate type and number of training input data before they can be used in the models. Then, it has been tried to evaluated applicability of ARTIFICIAL NEURAL NETWORKs and neuro-fuzzy techniques to predict runoff generated from daily rainfall. Finally, the accuracy of the results produced by these methods has been compared using statistical criterion. Results taken from this research show that ARTIFICIAL NEURAL NETWORKs and neuro-fuzzy technique presented different outputs in different conditions in terms of type and number of inputs variables, but both method have been able to produce acceptable results when suitable input variables and network structures are used.

Cites

References

No record.

Cite

APA: Copy

DASTORANI, MOHAMMAD TAGHI, SHARIFI DARANI, HAMED, TALEBI, ALI, & MOGHADAM NIA, ALIREZA. (2011). EVALUATION OF THE APPLICATION OF ARTIFICIAL NEURAL NETWORKS AND ADAPTIVE NEURO-FUZZY INFERENCE SYSTEMS FOR RAINFALL-RUNOFF MODELLING IN ZAYANDEH_ROOD DAM BASIN. WATER AND WASTEWATER, 22(4 (80)), 114-125. SID. https://sid.ir/paper/103687/en

Vancouver: Copy

DASTORANI MOHAMMAD TAGHI, SHARIFI DARANI HAMED, TALEBI ALI, MOGHADAM NIA ALIREZA. EVALUATION OF THE APPLICATION OF ARTIFICIAL NEURAL NETWORKS AND ADAPTIVE NEURO-FUZZY INFERENCE SYSTEMS FOR RAINFALL-RUNOFF MODELLING IN ZAYANDEH_ROOD DAM BASIN. WATER AND WASTEWATER[Internet]. 2011;22(4 (80)):114-125. Available from: https://sid.ir/paper/103687/en

IEEE: Copy

MOHAMMAD TAGHI DASTORANI, HAMED SHARIFI DARANI, ALI TALEBI, and ALIREZA MOGHADAM NIA, “EVALUATION OF THE APPLICATION OF ARTIFICIAL NEURAL NETWORKS AND ADAPTIVE NEURO-FUZZY INFERENCE SYSTEMS FOR RAINFALL-RUNOFF MODELLING IN ZAYANDEH_ROOD DAM BASIN,” WATER AND WASTEWATER, vol. 22, no. 4 (80), pp. 114–125, 2011, [Online]. Available: https://sid.ir/paper/103687/en

Related Journal Papers