Forecasting of Turbid Floods in a Coastal, Chalk Karstic Drain Using an Artificial Neural Network-Reference-Cited by-同舟云学术

Forecasting of Turbid Floods in a Coastal, Chalk Karstic Drain Using an Artificial Neural Network

Published:2001-01 Issue:1 Volume:39 Page:109-118
ISSN:0017-467X
Container-title:Groundwater
language:en
Short-container-title:Groundwater

Author:

Beaudeau P.¹,Leboulanger T.²,Lacroix M.³,Hanneton S.⁴,Wang H.Q.³

Affiliation:

1. Laboratoire d'Etudes et d'Analyses de la Ville du Havre, 70 quai Frissard, 76600 Le Havre, France, corresponding author; 33 2 35 53 78 79; fax: 33 2 35 5334 44; e‐mail:

2. Groupe d'Etudes des Milieux estuariens et Littoraux, Université de Rouen, 76821 Mont Saint‐Aignan Cedex, France

3. Laboratoire de Géologie, UPRESA CNRS 6143, Université de Rouen, 76821 Mont Saint‐Aignan Cedex, France

4. Laboratoire de Physiologic de la Perception et de 1′Action, CNRS‐Collége de France, 15, rue de 1′Ecole de Médecine, 75270 Paris Cedex 06, France

Publisher

Wiley

Subject

Computers in Earth Sciences,Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1745-6584.2001.tb00356.x

Reference32 articles.

1. Markovian representation of stochastic processes and its application to the analysis of autoregressive moving average processes

2. A time series study of anti-diarrheal drug sales and tap-water quality

3. Bulsari A. andH.Saxen.1993.Non‐linear time series analysis by neural network: An example. InProceedings of 1993 International Joint Conference on Neural Networks 993–998.

4. Neural networks that learn temporal sequences by selection.

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. UISCEmod: Open-source software for modelling water level time series in ephemeral karstic wetlands;Environmental Modelling & Software;2023-09

2. Karst-aquifer operational turbidity forecasting by neural networks and the role of complexity in designing the model: a case study of the Yport basin in Normandy (France);Hydrogeology Journal;2021-01-09

3. An evaluation of semidistributed-pipe-network and distributed-finite-difference models to simulate karst systems;Hydrogeology Journal;2020-11-11

4. Online sequential extreme learning machine in river water quality (turbidity) prediction: a comparative study on different data mining approaches;Water and Environment Journal;2020-08-28

5. Using Wavelet Coherence to Characterize Surface Water Infiltration into a Low‐Lying Karst Aquifer;Groundwater;2020-05-15