چکیده مقاله
In the present study, intelligent methods including artificial neural network ANN and adaptive fuzzy neural inference system ANFIS have been investigated to evaluate the prediction of rockfill dam crest settlement The accuracy of the methods used is compared with the central core based on crest settlement data obtained from 35 rockfill dams Dam height and compressibility index were considered as input parameters The compressibility index determines the general compression coefficient, which is determined by considering the compaction method of the substrate filling material and the quality of the foundation materials The results of the present study showed that in the ANFIS model, the trampmf membership function is selected with two membership functions for each input with a value of C C = 0 71, percentage, and MAE = 0 09% Also, considering the results as a percentage, in the ANFIS model, the maximum amount of error is 34 64%, the minimum amount is 0 41% and the average is 12 01% The best result in the neural network method will be obtained when 0 1 and 0 9 replace zero and one The results showed that the slightest error occurs when using the Levenberh Margaret post publication law To achieve the law ofoptimal education, other parameters affecting the neural network's performance have been kept constant, and by changing the rules of education, the network has been trained to repeat 1000 steps For this purpose, a lattice with a hidden layer consisting of 7 nodes and a sigmoid transfer function was used According to the results, it was observed that the error values in the neural network method are 1 88% in the minimum and 37 44% in the maximum, and alsothe average error was 14 23%
کلیدواژهها
نویسندگان
Mehran Seifollahi
M Sc , Graduated Department of Civil Engineering, Univ of Tabriz, Tabriz, Iran
Salim Abbasi
M Sc , Graduated Department of Civil Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
Firouz Mohammadi
Assistant Professor, Department of Civil Engineering, Technical and vocational university, Tabriz, Iran
Rasoul Danehfaraz
Professor, Department of Civil Engineering, University of Maragheh, Maragheh, Iran
Babak Asemi
M Sc , Graduated Department of Civil Engineering, Islamic Azad Univ of Ahar, Tabriz, Iran
شیوه ارجاع
Seifollahi, Mehran and Abbasi, Salim and Mohammadi, Firouz and Danehfaraz, Rasoul and Asemi, Babak,1400,Prediction of Crest Settlement in Rock-fill Dams Using ANN and ANFIS,12th International River Engineering Conference
ارائهشده در
مجموعه مقالات دوازدهمین سمینار بین المللی مهندسی رودخانه4 بهمن 1400 · اهواز