Estimating discharge coefficient of semi-elliptical side weir using ANFIS

By O. F. Dursun, Nihat Kaya, Mahmut Firat. 2012

76 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/e7c6afcc09b6f29da2eb462f17652bc90cfde9fc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Isa Ebtehaj
2. Hossein Bonakdari
3. Hamed Azimi

In Environmental Engineering

1. Hossein Bonakdari
2. Isa Ebtehaj
3. A. Zaji

Citations in the corpus

• Pareto genetic design of group method of data handling type neural network for prediction discharge coefficient in rectangular side orifices (2015, background): “[32] to calculate the discharge coefficient of semi-elliptical side weirs, located on the rectangular channels subcritical flow regime.”
• 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 (2016, methodology): “Dursun, Kaya, and Firat (2012) employed ANFIS and predicted the discharge coefficient in semi-elliptical side weirs located in rectangular channels.”