Side Weir Simulation

1- Zaji A.H., Bonakdari H., Shamshirband S., (2018), Standard equations for predicting the discharge coefficient of as modified high performance side weir, Scientia Iranica, Vol. 25, No. 3A, pp. 1057-1069, doi: 10.24200/sci.2017.4198.

2- Bonakdari, H., Zaji A.H., (2018), New type side weir discharge coefficient simulation using three novel hybrid adaptive neuro-fuzzy inference systems, Applied Water Science, Vol. 8, No. 15, pp. 1-15, doi: 10.1007/s13201-018-0669-y.

3- Zaji A. H., Bonakdari H., (2017), Optimum support vector regression for discharge coefficient of modified side weirs prediction, INAE Letters, Vol. 2, pp. 25-33. DOI 10.1007/s41403-017-0018-8.

4- Zaji A.H., Bonakdari H., (2014), Performance evaluation of two different neural network and particle swarm optimization methods for prediction of discharge capacity of modified triangular side weirs. Flow Measurement and Instrumentation. Vol. 40, pp. 149-156. DOI: 10.1016/j.flowmeasinst.2014.10.002.

5- Zaji A.H., Bonakdari H., Shamshirband S., (2016), Support vector regression for modified oblique side weirs discharge coefficient prediction, Flow Measurement and Instrumentation, Vol. 51, pp. 1-7, DOI: 10.1016/j.flowmeasinst.2016.08.006.

6- Shamshirband S., Bonakdari H., Zaji A.H., Petković D., Motamedi S., (2016), Improved side weir discharge coefficient modeling by adaptive neuro-fuzzy methodology, KSCE Journal of Civil Engineering, DOI: 10.1007/s12205-016-1723-7.

7- Zaji A.H., Bonakdari H., Khodashenas S. R., Shamshirband S., (2016), Firefly optimization algorithm effect on support vector regression prediction improvement of a modified labyrinth side weir’s discharge coefficient, Applied Mathematics and Computation. Vol. 274, pp. 14-19. DOI: 10.1016/j.amc.2015.10.070.

8- Zaji A.H., Bonakdari H., Karimi S. (2015), Radial Basis Neural Network and Particle Swarm Optimization-based equations for predicting the discharge capacity of triangular labyrinth weirs, Flow Measurement and Instrumentation, Vol. 45, pp 341-347.

9- Ebtehaj I. , Bonakdari H. , Zaji A.H., Azimi H., Sharifi A., (2015), Gene Expression Programming to Predict the Discharge Coefficient in Rectangular Side Weirs, Applied Soft Computing, Vol. 35, pp 618-628.

10- Zaji A.H., Bonakdari H., Shamshirband S., Qasem S.N., (2015), Potential of particle swarm optimization based radial basis function network to predict the discharge coefficient of a modified triangular side weir. Flow Measurement and Instrumentation, Vol. 45, pp. 404-407. DOI: 10.1016/j.flowmeasinst.2015.06.007.

11- Khoshbin F., Bonakdari H., Ashraf Talesh S. H., Ebtehaj I., Zaji A. H., Azimi H., (2015), ANFIS multi-objective optimization using Genetic Algorithm Singular Value Decomposition method for modeling discharge coefficient in rectangular sharp-crested side weirs, Engineering Optimization. DOI:10.1080/0305215X.2015.1071807.

12- Bonakdari H., Zaji A.H., Shamshirband S., Hashim R., Petković D., (2015), Sensitivity analysis of the discharge coefficient of a modified triangular side weir by adaptive neuro-fuzzy methodology, Measurement, DOI: 10.1016/j.measurement.2015.05.021.

13- Ebtehaj I., Bonakdari H., Zaji A. H., Azimi H, Khoshbin F., (2015), GMDH-Type neural network approach for modeling of discharge coefficient rectangular sharp-crested side weirs, Engineering Science and Technology: an International Journal. DOI: 10.1016/j.jestch.2015.04.012.