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Hydrological Sciences Journal Volume 53, 2008 - Issue 1
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Original Articles

Estimation of parameters of the transient storage model by means of multi-layer perceptron neural networks / Estimation des paramètres du modèle de transport TSM au moyen de réseaux de neurones perceptrons multi-couches

PAWEŁ M. ROWIŃSKI Institute of Geophysics, Polish Academy of Sciences, Księcia Janusza 64, 01-452, Warsaw, Poland E-mail: [email protected]
&
ADAM PIOTROWSKI Institute of Geophysics, Polish Academy of Sciences, Księcia Janusza 64, 01-452, Warsaw, Poland E-mail: [email protected]
Pages 165-178 | Received 05 Jun 2007, Accepted 04 Oct 2007, Published online: 18 Jan 2010

Citations (19)

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AdamP. Piotrowski, JaroslawJ. Napiorkowski, PawelM. Rowinski & SteveG. Wallis. (2011) Evaluation of temporal concentration profiles for ungauged rivers following pollution incidents. Hydrological Sciences Journal 56:5, pages 883-894.
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PAWEŁM. ROWIŃSKI, IAN GUYMER & KAMIL KWIATKOWSKI. (2008) Response to the slug injection of a tracer—a large-scale experiment in a natural river / Réponse à l'injection impulsionnelle d'un traceur—expérience à grande échelle en rivière naturelle. Hydrological Sciences Journal 53:6, pages 1300-1309.
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Articles from other publishers (17)

Byunguk Kim, Il Won Seo, Siyoon Kwon & Donghae Baek. (2023) Estimating Net Retention Time of Solute in Storage Zones of a Stream. Water Resources Research 59:5.
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Byunguk Kim, Siyoon Kwon, Hyoseob Noh & Il Won Seo. (2022) Surrogate prediction of the breakthrough curve of solute transport in rivers using its reach length dependence. Journal of Contaminant Hydrology 249, pages 104024.
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Mohammad Ehteram, Ahmad Sharafati, Seyed Babak Haji Seyed Asadollah & Aminreza Neshat. (2021) Estimating the transient storage parameters for pollution modeling in small streams: a comparison of newly developed hybrid optimization algorithms. Environmental Monitoring and Assessment 193:8.
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Siyoon Kwon, Hyoseob Noh, Il Won Seo, Sung Hyun Jung & Donghae Baek. (2021) Identification Framework of Contaminant Spill in Rivers Using Machine Learning with Breakthrough Curve Analysis. International Journal of Environmental Research and Public Health 18:3, pages 1023.
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Zihao Guo, Jian Tang, Junfei Qiao & Haijun He. (2020) Dioxin Emission Concentration Soft Measurement Model of MSWI Process Based on Unmarked Samples and Improved Deep Belief Network. Dioxin Emission Concentration Soft Measurement Model of MSWI Process Based on Unmarked Samples and Improved Deep Belief Network.
Mohamad Reza Madadi, Saeid Akbarifard & Kourosh Qaderi. (2020) Improved Moth-Swarm Algorithm to predict transient storage model parameters in natural streams. Environmental Pollution 262, pages 114258.
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Mohamad Reza Madadi, Saeid Akbarifard & Kourosh Qaderi. (2020) Performance Evaluation of Improved Symbiotic Organism Search Algorithm for Estimation of Solute Transport in Rivers. Water Resources Management 34:4, pages 1453-1464.
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Renata Graf, Senlin Zhu & Bellie Sivakumar. (2019) Forecasting river water temperature time series using a wavelet–neural network hybrid modelling approach. Journal of Hydrology 578, pages 124115.
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Ali Pourfard, Hamidreza Moetamedzadeh, Reza Madoliat & Esmaeel Khanmirza. (2019) Design of a neural network based predictive controller for natural gas pipelines in transient state. Journal of Natural Gas Science and Engineering 62, pages 275-293.
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Adam P. Piotrowski & Jarosław J. Napiorkowski. (2013) A comparison of methods to avoid overfitting in neural networks training in the case of catchment runoff modelling. Journal of Hydrology 476, pages 97-111.
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Adam P. Piotrowski & Jarosław J. Napiorkowski. (2012) Product-Units neural networks for catchment runoff forecasting. Advances in Water Resources 49, pages 97-113.
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Rajeev Ranjan Sahay. (2012) Predicting Transient Storage Model Parameters of Rivers by Genetic Algorithm. Water Resources Management 26:13, pages 3667-3685.
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Robert J. Abrahart, François Anctil, Paulin Coulibaly, Christian W. Dawson, Nick J. Mount, Linda M. See, Asaad Y. Shamseldin, Dimitri P. Solomatine, Elena Toth & Robert L. Wilby. (2012) Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting. Progress in Physical Geography: Earth and Environment 36:4, pages 480-513.
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Adam P. Piotrowski, Pawel M. Rowinski & Jaroslaw J. Napiorkowski. (2012) Comparison of evolutionary computation techniques for noise injected neural network training to estimate longitudinal dispersion coefficients in rivers. Expert Systems with Applications 39:1, pages 1354-1361.
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Adam P. Piotrowski, Jaroslaw J. Napiorkowski & Adam Kiczko. (2012) Differential Evolution algorithm with Separated Groups for multi-dimensional optimization problems. European Journal of Operational Research 216:1, pages 33-46.
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Adam P. Piotrowski & Jarosław J. Napiorkowski. (2011) Optimizing neural networks for river flow forecasting – Evolutionary Computation methods versus the Levenberg–Marquardt approach. Journal of Hydrology 407:1-4, pages 12-27.
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Amin Shaer, Ahmadreza Talebian & Sabyasachee Mishra. (2022) Informing the Work Zone Safety Policy Analysis: Reconciling Multivariate Prediction and Artificial Neural Network Modeling. SSRN Electronic Journal.
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