Regression-based Daugava River Flood Forecasting and Monitoring

  title={Regression-based Daugava River Flood Forecasting and Monitoring},
  author={Vitaly Bolshakov},
The paper discusses the application of linear and symbolic regression to forecast and monitor river floods. Main tasks of the research are to find an analytical model of river flow and to forecast it. The challenges are a small set of flow measurements and a small number of input factors. Genetic programming is used in the task of symbolic regression. To train the model, historical data of the Daugava River monitoring station near Daugavpils city are used. Several regression scenarios are… CONTINUE READING


Publications citing this paper.


Publications referenced by this paper.
Showing 1-6 of 6 references

Technology of operative automated prediction of flood during the spring floods

V. Zelentsov, J. Petuhova, S. A. Potryasaev, S. A. Rogachev
Tr. SPIIRAN, vol. 29, pp. 40–57 • 2013
View 3 Excerpts
Highly Influenced

and M

G. Kronberger, S. Wagner, M. Kommenda, A. Beham, A. Scheibenpflug
Affenzeller, “Knowledge Discovery Through Symbolic Regression with HeuristicLab,” in Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - V. Part II (ECML PKDD'12) • 2012
View 1 Excerpt

Statistics for Engineering and The Sciences: Fifth Edition

W. Mendenhall, T. Sincich
View 1 Excerpt

Design and Analysis of Experiments

D. C. Montgomery
John Wiley & Sons, inc. • 2005
View 1 Excerpt

Applied regression analysis (2. ed.)

Wiley series in probability and mathematical statistics • 1981
View 1 Excerpt

Similar Papers

Loading similar papers…