Hydroinformatics
Staff pages

D.P. Solomatine: PUBLICATIONS TO DOWNLOAD
Most of the publications are copyrighted by the respective publishers


Full list of publications can be found here

  Before 1998

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244K

D.P. Solomatine. Application of Global Optimization to Models Calibration (1995). Internal report.
HTML 150K D.P. Solomatine, A. Avila Torres. Neural Network Approximation of a Hydrodynamic Model in Optimizing Reservoir Operation. Proc. 2nd International Conference on Hydroinformatics. Zurich, Switzerland, August 1996, 201-206.
  1998
A.J. Abebe, D.P. Solomatine. Application of global optimization to the design of pipe networks. Proc. 3rd International Conference on Hydroinformatics. Copenhagen, Denmark, August 1998, 989-996.
S. Velickov, R.K. Price, D. P. Solomatine. Using Internet for hydroinformatics – practical examples of client/server modelling. Proc. 3rd International Conference on Hydroinformatics. Copenhagen, Denmark, August 1998, 965-972.
D.P. Solomatine. Genetic and other global optimization algorithms - comparison and use in calibration problems. Proc. 3rd International Conference on Hydroinformatics. Copenhagen, Denmark, August 1998, 1021-1028.
R. K. Price, J.N. Samedov and D. P. Solomatine. An artificial neural network model of a generalised channel network. Proc. 3rd International Conference on Hydroinformatics. Copenhagen, Denmark, August 1998, 813-818.
  1999
A.H. Lobbrecht and D.P. Solomatine. Control of water levels in polder areas using neural networks and fuzzy adaptive systems. In: Water Industry Systems: Modelling and Optimization Applications, vol.1, D.Savic, G. Walters (eds.). Research Studies Press, Ltd. Baldlock, UK, 1999, pp. 509-518.
D.P. Solomatine. Random search methods in model calibration and pipe network design. In: Water Industry Systems: Modelling and Optimization Applications, vol.1, D.Savic, G. Walters (eds.). Research Studies Press, Ltd. Baldlock, UK, 1999, pp. 509-518.
Solomatine D.P. Two strategies of adaptive cluster covering with descent and their comparison to other algorithms. Journal of Global Optimization, 1999, vol. 14, No. 1, pp. 55-78. (All plots are here).
Y. Dibike, D. P. Solomatine. River flow forecasting using artificial neural networks. European Geophysical Society (EGS) XXIV General Assembly, The Hague, The Netherlands, 19-23 April 1999.
B. Bazartseren, D.P. Solomatine, A.W. Minns, M.B. Abbott. Improving the quality of judgement in environmental impact assessment by using an analytic hierarchy process. Proceedings of the International Association for Hydraulic Research (IAHR), XXVIII Congress, 22-27 August 1999, Graz, Austria. p. 213.
H.Yan , D.P. Solomatine , S. Velickov, M.B.Abbott. Distributed Environmental Impact Assessment Using Internet. Journal of Hydroinformatics, July 1999, vol. 1, No.1, pp. 59-70.
Solomatine D.P., Dibike Y.B., Kukuric N. Automatic calibration of groundwater models using global optimization techniques. Hydrological Sciences Journal, vol. 44 (6), December 1999, pp. 879-894.
  2000
A. J. Abebe, D. P. Solomatine, R. Venneker. Application of adaptive fuzzy rule-based models for reconstruction of missing precipitation events. Hydrological Sciences Journal, 2000, vol. 45, No. 3, pp. 425-436.
S. Velickov, D.P. Solomatine. Predictive data mining: practical examples. In: AI methods in Civil Engineering Applications (O. Schleider, A. Zijderveld, eds). Cottbus, 2000, pp. 3-19.
Maskey, S., Dibike, Y. B. Jonoski, A. and D.P. Solomatine. Groundwater model approximation with artificial neural network for selecting optimal pumping strategy for plume removal, In: AI methods in Civil Engineering Applications (O. Schleider, A. Zijderveld, eds), Cottbus, 2000, pp. 67-80.
Y.B. Dibike, S. Velickov, D.P. Solomatine. Support vector machines: review and applications in civil engineering. In: AI methods in Civil Engineering Applications (O. Schleider, A. Zijderveld, eds). Cottbus, 2000, p.45-58.
D.P. Solomatine, C. Rojas, S. Velickov, H. Wust. Chaos theory in predicting surge water levels in the North Sea. Proc. 4th Int. Conference on Hydroinformatics. Iowa, USA, July 2000.
S. Velickov, D.P. Solomatine, X. Yu, R.K. Price. Application of Data Mining Techniques for Remote Sensing Image Analysis. Proc. 4th Int. Conference on Hydroinformatics. Iowa, USA, July 2000.
B. Bhattacharya, D.P. Solomatine. Application of artificial neural network in stage-discharge relationship. Proc. 4th Int. Conference on Hydroinformatics. Iowa, USA, July 2000.
Abebe A.J., V. Guinot, D.P. Solomatine. Fuzzy alpha-cut vs. Monte Carlo techniques in assessing uncertainty in model parameters. Proc. 4th Int. Conference on Hydroinformatics. Iowa, USA, July 2000.
R.K. Price, D.P. Solomatine, S. Velickov. Internet-based computing and knowledge management for engineering services. Proc. 4th Int. Conference on Hydroinformatics. Iowa, USA, July 2000.
  2001
Dibike Y.B. and Solomatine D.P. River Flow Forecasting Using Artificial Neural Networks, Journal of Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere, 2001, Vol. 26, No.1, pp. 1-8
Dibike Y.B., Velickov S., Solomatine D.P. and Abbott M.B. Model induction with support vector machines: introduction and applications. Journal of Computing in Civil Engineering, American Society of Civil Engineers (ASCE), vol. 15, No.3, 2001, pp. 208-216. (online access to the journal)
HTML D.P. Solomatine, S. Velickov, J.C. Wüst. Predicting water levels and currents in the North Sea using chaos theory and neural networks. Proc. 29th IAHR Congress, Beijing, China, September 2001.
  2002
S. Maskey, A. Jonoski, D.P. Solomatine. Groundwater remediation strategy using global optimization algorithms. ASCE Journal of Water Resources Planning and Management, 2002, vol 128, No. 6, pp. 431-440. (online access to the journal)
  D.P. Solomatine. Computational intelligence techniques in modeling water systems: some applications. Proc. World Congress on Computational Intelligence, USA, May 2002.

D.P. Solomatine. Data-driven modelling: paradigm, methods, experiences. Proc. 5th Int. Conference on Hydroinformatics. Cardiff, UK, July 2002, pp.757-763.

B. Bhattacharya, A.H. Lobbrecht, D.P. Solomatine. Control of water levels of regional water systems using reinforcement learning Proc. 5th Int. Conference on Hydroinformatics. Cardiff, UK, July 2002, pp. 952-957.
M. Noguchi, D. P. Solomatine and W. Nishida. Calibration of Water Quality Model by Global Optimization Techniques. Proc. 5th Int. Conference on Hydroinformatics. Cardiff, UK, July 2002, pp. 464-469.
Y. Dibike, A.H. Lobbrecht, D.P. Solomatine.Neural network and fuzzy logic technologies for control of the water system of Overwaard in The Netherlands. Proc. 5th Int. Conference on Hydroinformatics. Cardiff, UK, July 2002, pp.715-721.
D.P. Solomatine. Applications of data-driven modelling and machine learning in control of water resources. In: Computational intelligence in control, M. Mohammadian, R.A. Sarker and X. Yao (eds.). Idea Group Publishing, 2002, pp. 197 - 217.

A.H. Lobbrecht, D.P. Solomatine. Machine learning in real-time control of water systems. Urban Water 4, 2002, 283-289.

  2003
D.P. Solomatine, K.N. Dulal. Model trees as an alternative to neural networks in rainfall-runoff modeling. Hydrological Sciences Journal, 48 (3), 2003, 399-411.
Solomatine, D.P. Mixtures of simple models vs ANNs in hydrological modeling. Proc. 3rd International Conference on Hybrid Intelligent Systems (HIS'03), Melbourne, December 2003.
Bhattacharya, B., and Solomatine, D.P. An algorithm for clustering and classification of series data with constraint of contiguity, Proc. 3rd International Conference on Hybrid Intelligent Systems (HIS'03), Melbourne, December 2003.
Bhattacharya, B., Shrestha, D.L., Solomatine, D.P. (2003) Neural Networks in Reconstructing Missing Wave Data in Sedimentation Modelling. Proceedings of the XXXth IAHR Congress, Thessaloniki, Greece, August, 2003.
Velickov, S., Price, R.K., Solomatine, D.P. Prediction of Nonlinear Dynamical Systems Based on Time Series Analysis: Issues of Entropy, Complexity and Predictability. Proceedings of the XXXth IAHR Congress, Thessaloniki, Greece, August, 2003.
  Bhattacharya, B., and Solomatine, D.P. Application of artificial neural networks and M5 model trees to modelling stage-discharge relationship, in: B.S. Wu, Z.Y. Wang, G.Q. Wang, G.H. Huang, H.W. Fang, and J.C. Huang, eds, Proc. of the 2nd International Symposium on Flood Defence, Beijing, China, Science Press New York Ltd., New York, 2003, pp.1029-1036.
  Bhattacharya, B., Deibel, I.K., Karstens, S.A.M., Solomatine, D.P. (2003). Neural Networks in Sedimentation Modelling for the Approach Channel of the Port of Rotterdam, Proceedings of the 7th International Conference on Nearshore and Estuarine Cohesive Sediment Transport Processes (INTERCOH), Virginia Institute of Marine Science, Virginia, USA, October, 2003 (in press).
  Solomatine, D.P. Data-driven modelling for flood-related problems. Proceedings of the NCR days 2003 (November), Roermond, Netherlands.
  Bhattacharya, B., and Solomatine, D.P. (2003) Neural Networks and M5 Model Trees in Modelling Water Level-Discharge Relationship for an Indian River, Proceedings of the 11th European Symposium on Artificial Neural Networks, Bruges, Belgium, April, 2003.
Bhattacharya, B., Lobbrecht, A.H., Solomatine, D.P. (2003). Neural networks and reinforcement learning in control of water systems. ASCE Journal of Water Resources Planning and Management, 129 (6), 458-465. (online access to the journal)
  2004
D.P. Solomatine, M.B. Siek. Flexible and optimal m5 model trees with applications to flow predictions. Proc. 6th Intern. Conference on Hydroinformatics, Singapore, June 2004. World Scientific, 2004.
B. Bhattacharya, R.K. Price and D.P. Solomatine. A data mining approach to modelling sediment transport. Proc. 6th Intern. Conference on Hydroinformatics, Singapore, June 2004. World Scientific, 2004.
R.K. Price and D.P. Solomatine. Innovative approaches to flood forecasting using data driven and hybrid modeling. Proc. 6th Intern. Conference on Hydroinformatics. Singapore, June 2004. World Scientific, 2004.
D.P. Solomatine, Y. Xue. M5 model trees compared to neural networks: application to flood forecasting in the upper reach of the Huai River in China. ASCE Journal of Hydrologic Engineering, 9(6), 2004, pp. 491-501. (online access to the journal)
  2005
B. Bhattacharya and D.P. Solomatine. Neural networks and M5 model trees in modelling water level-discharge relationship. Neurocomputing 63, 2005, 381-396. (online access: http://www.elsevier.com/locate/neucom).
A.H. Lobbrecht, Y. Dibike and D.P. Solomatine. Artificial Neural Networks and Fuzzy Systems in Model Based Control of the Overwaard Polder. ASCE Journal of Water Resources Planning and Management, 131 (2), 2005, 135-145. (online access to the journal)
M.B. Siek and D. P. Solomatine. Optimizing Mixtures Of Local Experts In Tree-Like
Regression Models
. Proc. IASTED Conference on Artificial Intelligence and
Apllications, M.H. Hamza, (ed), Innsbruck, Austria, February 2005, 497-502.
  Bhattacharya, B., Buraimo, C., Solomatine D.P. Data-driven Modelling in Context to Sediment Transport. Journal of Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere, 2004 (submitted).
  D.P. Solomatine and M. Maskey. Instance-based learning compared to other data-driven methods in hydrologic forecasting. Journal of Hydrology (submitted).
  (total: 100)

 

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