97
Views
4
CrossRef citations to date
0
Altmetric
Review Article

Neuro-Fuzzy Model for Quantified Rainfall Prediction Using Data Mining and Soft Computing Approaches

ORCID Icon &

References

  • G. Agnihotri and M. Mohapatra, “Prediction of occurrence of daily summer monsoon precipitation over Karnataka,” Meteorol. Appl., Vol. 19, no. 2, pp. 130–9, 2012.
  • M Rajeevan, C. K. Unnikrishnan, J. Bhate, K. Niranjan Kumar and P. P. Sreekala, “Northeast monsoon over India: variability and prediction,” Meteorol. Appl., Vol. 19, no. 2, pp. 226–36, 2012.
  • K. K. Kumar, M. K. Soman and K. Roopa Kumar, “Seasonal forecasting of Indian summer monsoon rainfall: a review,” Weather, Vol. 50, no. 12, pp. 449–67, 1995.
  • C. Ihara, Y. Kushnir, M. A. Cane and V. H. De La Peña, “Indian summer monsoon rainfall and its link with ENSO and Indian Ocean climate indices,” Int. J. Climatol., Vol. 27, pp. 179–87, 2006.
  • N. Lockyer and W. J. Lockyer, “The behavior of the short-period atmospheric pressure variation over the earth's surface,” Proc. R. Soc. Lond., Vol. 73, no. 488, pp. 457–70, 1904.
  • B. Parthasarathy, K. Rupa Kumar and A. A. Munot, “Surface pressure and summer monsoon rainfall over India,” Adv. Atmos. Sci., Vol. 9, pp. 359–66, 1992.
  • B. Parthasarathy, K. Rupa kumar and N. A. Sontakke, “Surface and upper air temperatures over India in relation to monsoon rainfall,” Theor. Appl. Climatol., Vol. 42, pp. 93–110, 1990.
  • J. Shukla and D. A. Paolino, “The southern oscillation and long-range forecasting of the summer monsoon rainfall over India,” Monthly Weather Rev., Vol. 111, pp. 1830–37, 1983.
  • T. Delsole and J. Shukla, “Linear prediction of the Indian monsoon rainfall,” Centre for Ocean-Land-Atmosphere Studies (COLA), Technical report CTR 58 pages from 114, 2002.
  • M. Rajeevan, P. Guhathakurta and V. Thapliyal, “New models for long range forecasts of summer monsoon rainfall over Northwest and Peninsular India,” Meteorol. Atmos. Phys., Vol. 73, pp. 211–25, 2000.
  • M. Rajeevan, D. S. Pai and R. Anil Kumar, “New statistical models for long range forecasting of southwest monsoon rainfall over India,” National Climate Centre, Indian Meteorological Department, Pune, India, research report no 1/2005, 2005.
  • M. Rajeevan, D. S. Pai, S. K. Dikshit and R. R. Kelkar, “IMD's new operational models for long range forecast of south-west monsoon rainfall over India and their verification for 2003,” Curr. Sci., Vol. 86, pp. 422–31, 2004.
  • P. Goswami and P. Srividya, “A neural network design for long range prediction of rainfall pattern,” Curr. Sci., Vol. 70, pp. 447–57, 1996.
  • R. N. Iyengar and S. T. G. Raghukanth, “Intrinsic mode functions and a strategy for forecasting Indian monsoon rainfall,” Meteorol. Atmos. Phys., Vol. 90, pp. 17–36, 2005.
  • H. Vathsala and S. G. Koolagudi, “Prediction model for peninsular Indian summer monsoon rainfall using data mining and statistical approaches,” Comput. Geosci., Vol. 98, pp. 55–63, 2017.
  • C. T. Dhanya and D. Nagesh Kumar, “Data mining for evolution of association rules for droughts and floods in India using climate inputs,” J. Geophys. Res., Vol. 114, 2009.
  • H. Vathsala and S. G. Koolagudi, “Long-range prediction of Indian summer monsoon rainfall using data mining and statistical approaches,” Theor. Appl. Climatol., Vol. 130, no. 1, pp. 1–15, 2016.
  • M. J. Zaki and C. J. Hsiao, “CHARM: An efficient algorithm for closed item-set mining,” in Proceedings of the 2002 SIAM International Conference on Data Mining, 2002, pp. 457–73.
  • S. Chiu, “Fuzzy model identification based on cluster estimation,” J. Intell. Fuzzy Syst., Vol. 2, pp. 267–78, 1994.
  • R. J. Oweis, E. W. Abdulhay, A. Khayal and A. Awad, “An alternative respiratory sounds classification system utilizing artificial neural networks,” Journal Biomed. J., Vol. 38, pp. 153, 2015.
  • H. Li, C. L. Philip Chen and H.-P. Huang, Fuzzy neural intelligent systems: mathematical foundation and the applications in engineering. CRC Press, 2000.
  • N. K. Kasabov and Q. Song, “DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction,” IEEE Trans. Fuzzy Syst., Vol. 10, no. 2, pp. 144–54, 2002.
  • L. Maciel, R. Ballini and F. Gomide, “Evolving possibilistic fuzzy modeling for realized volatility forecasting with jumps,” IEEE Trans. Fuzzy Syst., Vol. 25, no. 2, 2016.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.