Feasibility of a novel predictive model based on multilayer perceptron optimized with Harris hawk optimization for estimating of the longitudinal dispersion coefficient in rivers-Reference-Cited by-同舟云学术

Feasibility of a novel predictive model based on multilayer perceptron optimized with Harris hawk optimization for estimating of the longitudinal dispersion coefficient in rivers

Published:2022-12-09 Issue:9 Volume:35 Page:7081-7105
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Ohadi Sima,Hashemi Monfared Seyed Arman^ORCID,Azhdary Moghaddam Mehdi,Givehchi Mohammad

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-022-08074-8.pdf

Reference65 articles.

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2. Hashemi Monfared SA, Mirbagheri SA, Sadrnejad SA (2014) A three-dimensional, integrated seasonal separate advection-diffusion model (ISSADM) to predict water quality patterns in the Chahnimeh reservoir. Environ Model Assess 19:71–83. https://doi.org/10.1007/s10666-013-9376-0

3. Baghbanpour S, Kashefipour SM (2012) Numerical modeling of suspended sediment transport in rivers (case study: Karkheh River). J Sci Technol Agric Nat Resour 16:45–58

4. Boddula S, Eldho TI (2017) A moving least squares based meshless local petrov-galerkin method for the simulation of contaminant transport in porous media. Eng Anal Bound Elem 78:8–19. https://doi.org/10.1016/j.enganabound.2017.02.003

5. Noori R, Ghiasi B, Sheikhian H, Adamowski JF (2017) Estimation of the dispersion coefficient in natural rivers using a granular computing model. J Hydraul Eng 143:04017001. https://doi.org/10.1061/(asce)hy.1943-7900.0001276

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