Feasibility of a novel predictive model based on multilayer perceptron optimized with Harris hawk optimization for estimating of the longitudinal dispersion coefficient in rivers
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Title
Feasibility of a novel predictive model based on multilayer perceptron optimized with Harris hawk optimization for estimating of the longitudinal dispersion coefficient in rivers
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Journal
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-12-09
DOI
10.1007/s00521-022-08074-8
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- (2018) Azadeh Gholami et al. MEASUREMENT
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- Prediction of river flow using hybrid neuro-fuzzy models
- (2018) Armin Azad et al. Arabian Journal of Geosciences
- A moving least squares based meshless local petrov-galerkin method for the simulation of contaminant transport in porous media
- (2017) Swathi Boddula et al. ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
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- (2017) Manoj Khandelwal et al. ENGINEERING WITH COMPUTERS
- Prediction of longitudinal dispersion coefficient in natural rivers using a cluster-based Bayesian network
- (2017) Mohamad Javad Alizadeh et al. Environmental Earth Sciences
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- (2017) Roohollah Noori et al. JOURNAL OF HYDRAULIC ENGINEERING
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- Evaluation of neuro-fuzzy GMDH-based particle swarm optimization to predict longitudinal dispersion coefficient in rivers
- (2016) Mohammad Najafzadeh et al. Environmental Earth Sciences
- Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting
- (2015) Danial Jahed Armaghani et al. Environmental Earth Sciences
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- (2015) Ahmed M.A. Sattar et al. JOURNAL OF HYDROLOGY
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Predictive equation for longitudinal dispersion coefficient
- (2014) T. Disley et al. HYDROLOGICAL PROCESSES
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- (2013) S. A. Hashemi Monfared et al. ENVIRONMENTAL MODELING & ASSESSMENT
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- (2009) Rajeev Ranjan Sahay et al. HYDROLOGY RESEARCH
- Particle Swarm Optimization applied to the design of water supply systems
- (2008) Idel Montalvo et al. COMPUTERS & MATHEMATICS WITH APPLICATIONS
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