Title : ( Application of optimized Artificial and Radial Basis neural networks by using modified Genetic Algorithm on discharge coefficient prediction of modified labyrinth side weir with two and four cycles )
Authors: AmirHossein Zaji , Hossein Bonakdari , Hamed Zahedi Khameneh , Saeed Reza Khodashenas ,
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Abstract
Determining the discharge coefficient is one of the most important processes in designing side weirs. In this study, the structure of Artificial Neural Network (ANN) and Radial Basis Neural Network (RBNN) methods are optimized by a modified Genetic Algorithm (GA). So two new hybrid methods of Genetic Algorithm Artificial neural network (GAA) and Genetic Algorithm Radial Basis neural network (GARB), were introduced and compared with each other. The modified GA was used to find the neuron number in the hidden layers of the ANN and to find the spread value and the neuron number of the RBNN method, as well. GAA and GARB were tested for predicting the discharge coefficient of a modified labyrinth side weir he GARB method could successfully predict the accurate discharge coefficient even in cases where there is a limited number of train data sets available.
Keywords
Artificial neural network Discharge coefficient Hybrid model Labyrinth side weir Modified Genetic algorithm Radial basis neural network
@article{paperid:1077126,
author = {امیرحسین زاجی and حسین بنکداری and Zahedi Khameneh, Hamed and Khodashenas, Saeed Reza},
title = {Application of optimized Artificial and Radial Basis neural networks by using modified Genetic Algorithm on discharge coefficient prediction of modified labyrinth side weir with two and four cycles},
journal = {Measurement},
year = {2019},
volume = {152},
month = {November},
issn = {0263-2241},
keywords = {Artificial neural network
Discharge coefficient
Hybrid model
Labyrinth side weir
Modified
Genetic algorithm
Radial basis neural network},
}
%0 Journal Article
%T Application of optimized Artificial and Radial Basis neural networks by using modified Genetic Algorithm on discharge coefficient prediction of modified labyrinth side weir with two and four cycles
%A امیرحسین زاجی
%A حسین بنکداری
%A Zahedi Khameneh, Hamed
%A Khodashenas, Saeed Reza
%J Measurement
%@ 0263-2241
%D 2019
