Journal ArticleDOI
Adaptive neuro-fuzzy inference system multi-objective optimization using the genetic algorithm/singular value decomposition method for modelling the discharge coefficient in rectangular sharp-crested side weirs
Fatemeh Khoshbin,Hossein Bonakdari,Seyed Hamed Ashraf Talesh,Isa Ebtehaj,Amir Hossein Zaji,Hamed Azimi +5 more
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In this article, the adaptive neuro-fuzzy inference system (ANFIS) is employed to model the discharge coefficient in rectangular sharp-crested side weirs.Abstract:
In the present article, the adaptive neuro-fuzzy inference system (ANFIS) is employed to model the discharge coefficient in rectangular sharp-crested side weirs. The genetic algorithm (GA) is used for the optimum selection of membership functions, while the singular value decomposition (SVD) method helps in computing the linear parameters of the ANFIS results section (GA/SVD-ANFIS). The effect of each dimensionless parameter on discharge coefficient prediction is examined in five different models to conduct sensitivity analysis by applying the above-mentioned dimensionless parameters. Two different sets of experimental data are utilized to examine the models and obtain the best model. The study results indicate that the model designed through GA/SVD-ANFIS predicts the discharge coefficient with a good level of accuracy (mean absolute percentage error = 3.362 and root mean square error = 0.027). Moreover, comparing this method with existing equations and the multi-layer perceptron–artificial neural network...read more
Citations
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Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey
Dervis Karaboga,Ebubekir Kaya +1 more
TL;DR: The heuristic and hybrid approaches utilized in ANFIS training are examined in order to guide researchers in their study and it has been observed that there is a trend toward heuristic based ANfIS training algorithms for better performance recently.
Journal ArticleDOI
Evolutionary design of generalized group method of data handling-type neural network for estimating the hydraulic jump roller length
TL;DR: In this article, the roller length of a hydraulic jump on a rough channel bed is predicted using a novel, evolutionary, generalized structure design of a group method of data handling (GS-GMDH)-type neural network.
Journal ArticleDOI
Design of radial basis function-based support vector regression in predicting the discharge coefficient of a side weir in a trapezoidal channel
TL;DR: In this article, the discharge coefficient of rectangular side weirs located on trapezoidal channels using support vector machines (SVMs) is predicted using six different models (SVM 1-SVM 6) and a matrix is presented for the superior model to estimate discharge coefficient.
Journal ArticleDOI
Evolutionary Pareto optimization of an ANFIS network for modeling scour at pile groups in clear water condition
Hamed Azimi,Hossein Bonakdari,Isa Ebtehaj,Seyed Hamed Ashraf Talesh,David G. Michelson,Ali Jamali +5 more
TL;DR: According to the sensitivity analysis results, the pile diameter and number of piles normal to the flow are the most effective parameters for predicting scour at pile groups in clear water condition and ANFIS-DE/SVD outperforms the other techniques.
Journal ArticleDOI
Development of more accurate discharge coefficient prediction equations for rectangular side weirs using adaptive neuro-fuzzy inference system and generalized group method of data handling
TL;DR: In this article, a genetic algorithm (GA) is employed to identify the best selection of adaptive neuro-fuzzy inference system (ANFIS) membership functions and the evolutionary design of a generalized group method of data handling (GMDH) structure for prediction of the side weir discharge coefficient.
References
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Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Journal ArticleDOI
Fuzzy identification of systems and its applications to modeling and control
T. Takagi,Michio Sugeno +1 more
TL;DR: A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented and two applications of the method to industrial processes are discussed: a water cleaning process and a converter in a steel-making process.
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ANFIS: adaptive-network-based fuzzy inference system
TL;DR: The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference System implemented in the framework of adaptive networks.
Journal ArticleDOI
An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller
E.H. Mamdani,S. Assilian +1 more
TL;DR: Fuzzy logic is used to convert heuristic control rules stated by a human operator into an automatic control strategy, and the control strategy set up linguistically proved to be far better than expected in its own right.